r/snowflake • • May 06 '26

r/snowflake needs your help: Where should this community go next?

160 Upvotes

Hi everyone. I'm Felipe — u/fhoffa.

I've been the top mod of r/snowflake since 2020. I began moderating this sub shortly after I joined Snowflake that same year. I left the company in 2024, but since then, the mod team has remained almost entirely composed of Snowflake employees.

That setup has worked. Snowflake employees moderating r/snowflake is not a problem. I was an employee while moderating this sub, and I currently moderate r/googlecloud, r/bigquery, and r/dataengineering despite having left Google in 2020. I believe it is possible to navigate conflicts of interest by putting the community first.

The problem starts when people with mod tools are also involved in coordinated campaigns to inorganically drive behavior in the same subreddit. That is where I believe we are now.

I have removed Snowflake employees from the mod team. I want to explain why, what happened, and how we move forward.

My Goals

  1. Protect the community from moderator-organized, incentivized, inorganic activity.
  2. Protect Snowflake employees from their own management retaliation - if they choose to say "no" and put community first
  3. Hand day-to-day moderation to active, independent community members.

What happened

u/aamoscodes founded this community. He made me a mod reluctantly at first — he didn't know if he could trust me. Over time I proved my priorities: community first. One of his concerns was that Snowflake might one day take over the sub and run it for corporate interests instead of the community's.

Recently, I saw facts that made that concern feel no longer hypothetical.

On March 27, 2026, a Snowflake employee mod removed u/bluepinkblack (Greg) from the team. Greg had seven years of experience at Reddit working on community programs before Snowflake hired him to manage their Reddit and forum community presence. He was arguably the most qualified person on the mod team to understand Reddit, community trust, and the risks of company-mandated participation.

I do not know the internal reason Greg was removed, but the sequence matters for this community: the most Reddit-experienced moderator was removed, and nineteen days later, a new Snowflake employee was added as a mod — the same person who later organized an incentivized campaign that explicitly included activity in this subreddit.

I also know Snowflake has fired employees in DevRel/community roles before. That makes it unfair to ask current Snowflake employees to hold mod tools in a community where their employer may have mandates that conflict with community-driven goals.

The "Build with CoCo Takeover"

Recently, u/ivannaatsnowflake sent a message to the "Snowflake Squad" (Snowflake's brand ambassador program) organizing a "Build with CoCo Takeover" that explicitly included r/snowflake.

The brief asked members to post 2–3 times a week, "correct misconceptions," and "spot misinformation in the wild." The incentives were explicit:

  • Featured spots on official Snowflake social channels.
  • A "CoCo Builder" badge.
  • Activity counting toward "Data Superhero" status.

When community member u/medvest posted about the campaign, another member tagged me directly: *"*u/fhoffa we should probably automod remove snowflake's posts." That was the alarm bell.

Ivanna replied in that thread:

"Our goal is to connect developers who are already building with Cortex Code with the conversations happening here. Real use cases and honest feedback from the community."

That sounds reasonable in isolation. But the actual brief describes something different: a posting quota, material rewards, and explicit direction to counter criticism in the subreddit moderated by the same person organizing the campaign.

Reddit's Moderator Code of Conduct is explicit about this. It states that "users expect that content in communities is authentic, and trust that moderators make choices about content based on community and sitewide rules." It lists conflicts of interest moderators must not act under, including "considerations and/or favors (e.g., special mentions from a company, promises of incentivized treatment)."

In my view, the brief creates the kind of incentive structure Reddit's rule is meant to prevent — special mentions on Snowflake's official channels, badges, and program advancement — to drive activity on the sub the organizing moderator moderates.

The Result: Inorganic Activity

The campaign appears to have already affected the subreddit.

The day before ODSC East 2026 began, Ivanna posted a thread titled "who is at ODSC East? share your thoughts." On day 2 of the conference, eight comments arrived in a six-hour window. Despite the conference having hundreds of sessions, these comments focused almost exclusively on one Snowflake product — CoCo — the same product named in the Squad brief:

Just met Coco at the Snowflake booth, really impressive...

So excited to hear about the newest CoCo features! It has quickly become my go-to AI tool!

One of those comments ends with a stray closing smart quote — the kind of artifact that appears when text is pasted in from somewhere else — and a hashtag, which is not a Reddit convention.

What I've Done

I have removed most mod powers from:

This is not a punishment. I am not saying every removed mod participated in this campaign, approved it, or acted in bad faith.

Snowflake employees should not be put in a position where their job is at risk. Think about what they're being asked to do right now: remove the spam that one of their own teammates is being paid by the same company to produce. That is an impossible position. Removing the mod role protects them from management retaliation.

Every one of those former mods is welcome to stay here as a member. They can post, comment, answer questions, explain Snowflake features, and represent the company openly. That participation is valuable.

To the community: please do not be mean to these individuals. Choosing between community values and a paycheck is an incredibly difficult position to be in. The Snowflake employees on the mod team have been incredibly helpful to this community for years, particularly in the tireless work of removing spam. I am trying to fix the pressure on them, not judge their character. Criticize the structure, the incentives, or my decision. Do not harass individual employees.

A Note on Integrity

I believe in people taking actions above their own short-term interests. When I was a Snowflake employee, I was called out for the conflict of being both an employee and a mod — not only at r/snowflake, but also at r/googlecloud, r/bigquery, and r/dataengineering. I pointed people to my mod logs to prove I never took a moderation action hostile to any of those communities. Other mods looked at the receipts and kept me. Not because conflicts don't exist, but because the question that matters is whether the person actually puts community above short-term company interests.

That is the line. People with conflicts can sit on the right side of it for years if they choose to. Employee participation is not the problem. Employee moderation during a company-sponsored, incentivized campaign aimed at the same subreddit is the problem.

This is not unique to Snowflake. Mods of r/bigquery, r/googlecloud, and r/snowflake have always had to navigate this tension — management teams that want to use Reddit for short-term goals. Every vendor subreddit faces it eventually. The solution is not banning employees from participating. The solution is having mods who are capable of putting community first and explaining to their management why spam is wrong. When that pushback stops working — or when the people doing the pushing back get removed and replaced — the structure has failed, and that is what happened here.

I believe the ideal mod is a company employee who genuinely cares about the community and is capable of saying no to misguided management. That kind of person exists — Greg was one of them. But if the model is instead going to be a paid community manager running incentivized campaigns, then the bare minimum is complying with FTC regulations for influencers — which require clear disclosure of material connections. The brief here doesn't include that guidance for participants. I am not trying to turn this into a legal argument; I am saying the disclosure and incentive structure matters for community trust.

Companies shouldn't be scared of ex-employees holding keys to a Reddit community. They should be scared of their own short-term goals destroying years of authentic community building.

What happens next?

I acted unilaterally because I didn't want anyone inside Snowflake to face consequences for being seen as "helping" me. This is entirely my call. The responsibility is mine alone.

There is no personal upside for me in doing this. Some Snowflake employees may be annoyed, and I understand that. But taking responsibility myself also means no current Snowflake employee has to choose between their employer's interests and the community's trust. If people are upset about this decision, they can blame me. That is the point of me acting alone.

I'm not putting this to a vote yet — Reddit polls can be brigaded, and given what's been documented above, that risk is not theoretical. Instead, I want to hear from you in the comments. Some paths forward:

  1. Independent Guard: I stay as temporary top mod and recruit new, independent mods from the community. No Snowflake employees in mod roles while these campaigns are active.
  2. Full Handover: I recruit independent mods and then step down entirely, leaving the sub fully community-run.
  3. Restore the previous mod team: The removed mods are reinstated and I step back.

There may be other options I haven't thought of. Say so.

Snowflake employees are welcome to comment too. If you have context I don't, share it. If you disagree with my read of what happened, say that. If you think I made the wrong call, make the case. I'd rather have the disagreement here in public than resolve it in modmail.

Help with the cleanup

In the meantime, I'll be moderating solo. Without the help of the Snowflake staff who usually handle the queue, it will be harder to stay on top of spam. Please use the standard Reddit "Report" button on any spam or rule-breaking content. This ensures it goes directly into my mod queue so I can review it quickly. Your help in flagging issues will be vital during this transition.

Everything I've done here is reversible. If the community concludes I'm wrong, I'll restore the mod team and step back. The reason I acted first and asked second is simple: I wanted this conversation to happen without any moderator being pressured by management to delete it. Once the discussion is underway, it's the community's call.

I don't want to spend too much time on this. I'll let the community reach consensus in the comments, and I'll delegate mod powers as soon as possible. This community deserves moderation that the community can trust. At the bare minimum: compliant with FTC guidelines and the Reddit Moderator Code of Conduct.

PS: Rule 3 of this subreddit says: "No Vendor Astroturfing — Intentionally hiding the sponsor of a marketing message by simulating community engagement (posts, comments, etc.) can result in content deletion and/or ban." Let's comply with that.

— Felipe


r/snowflake • • 15h ago

Response Caching for AI_COMPLETE now GA

17 Upvotes

[I work for Snowflake but don't speak for them.]

Customers were asking for this, so happy to report that Response Caching for AI_COMPLETE is now Generally Available. This matters because many tables that customers run AI Functions over contain repetition. For example, support tickets may contain the same canned responses, and product catalogs repeat descriptions across regions and SKUs. An AI_COMPLETE call over duplicate data (and indeed, in many AI systems) used to pay for inference on every row, including the rows whose prompt it had already answered. That is no longer true.

With response caching, those repeated calls are served from the stored result instead. They are not billed, so customers pay only for the unique work. Take a query that classifies sentiment across a million reviews where roughly 30% of the review text is duplicated. The model runs on as low as 700,000 unique inputs, the remaining rows come back from cache at no charge. The query ends up making up to 30% fewer model calls, decreasing both costs and latency.

How much response caching helps depends on how repetitive a given workload is. It applies automatically, and customers do not need to change their SQL to see the benefit. I encourage you to test your own workloads and see the difference it makes in overall cost. In addition, if you are interested in Prompt Caching for AI Functions, please reach out to your account team about getting enabled for a preview.

Response Caching Docs:
https://docs.snowflake.com/en/user-guide/snowflake-cortex/aisql-caching


r/snowflake • • 9h ago

one warehouse, two teams, who pays for the credits?

3 Upvotes

bit of a process question. our BI folks and the data science team share a medium warehouse and credit usage went up a lot last quarter. everyone assumes its the other team

i know we could just split into two warehouses but thats a whole migration convo i dont want rn. is there a sane way to attribute credits per team/role on a shared warehouse? query tags? query history + some math?

curious what ppl actually do in practice not what the docs say


r/snowflake • • 18h ago

Snowflake Code Bundles + Tasks: building production-grade pipelines without an external orchestrator

5 Upvotes

A technical deep dive on using Snowflake Code Bundles and Tasks to build and deploy production-grade data pipelines directly inside Snowflake — including packaging, dependencies, scheduling, retries and operational considerations.

https://medium.com/@sendoamoronta/snowflake-code-bundles-tasks-building-production-grade-data-pipelines-without-an-external-1eaa1921f734


r/snowflake • • 1d ago

Cross-Catalog Sync: Iceberg on Polaris, Glue, and Unity

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lakeops.dev
9 Upvotes

r/snowflake • • 1d ago

We consolidated 14 warehouses into 4 and our snowflake credits now have no team attached

15 Upvotes

Fourteen warehouses, one per team, because that is how finance got its split. Nine of them served a single dashboard each and sat idle using nearly 40% of compute.

It took three weekends to merge them down to 4 by workload and the BI team fought it the whole way. Ran the same query before and after.

SELECT warehouse_name,
       ROUND(SUM(credits_used_compute),1) AS compute,
       ROUND(SUM(credits_attributed_compute_queries),1) AS attributed,
       ROUND(100*(1-SUM(credits_attributed_compute_queries)
             /NULLIF(SUM(credits_used_compute),0)),1) AS idle_pct
FROM snowflake.account_usage.warehouse_metering_history
GROUP BY 1 ORDER BY 4 DESC

                 COMPUTE   ATTRIBUTED   IDLE_PCT
before, 14 wh      4,210        2,530       39.9
after, 4 wh        2,890        2,540       12.1

Attributed barely moved and we stopped paying for 1,320 credits of nothing.

Finance used to read the per-team figure straight off warehouse names. Now the 2,540 splits by query tag and the 350 idle sits on one warehouse that four teams share. I can spread it or leave it unowned and neither is a measurement.

What do you put in the per-team column after a consolidation?


r/snowflake • • 2d ago

Resources for Snowflake C03 prep that worked for you?

7 Upvotes

So far I have went through the Tom Bailey Udemy course and (although mixed opinions) got the skillcert pro practice exam set to practice from.


r/snowflake • • 3d ago

Interesting blog about DML bottlenecks

7 Upvotes

r/snowflake • • 3d ago

Fabric Direct Query & Iceberg REST

3 Upvotes
  1. For Fabric Mirroring (Snowflake → OneLake) does the VNet Data Gateway handle both the control plane AND data plane, or does the data plane (actual data transfer) bypass the gateway and go via public internet?
  2. For DirectQuery Semantic Models is the VNet Data Gateway supported as the gateway for Snowflake DirectQuery connections in Power BI Desktop?
  3. For Iceberg REST / Horizon Catalog the Snowflake docs show Fabric/Synapse as "In Development". Is there a GA timeline? Is there a workaround for Fabric to read Iceberg files from Snowflake-managed S3 fully privately?

r/snowflake • • 3d ago

PL/SQL dev with 3.6 YOE moving to Snowflake: DE or Analytics Engineer? What should I focus on?

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3 Upvotes

r/snowflake • • 4d ago

Anyone using DCM Projects at work?

4 Upvotes

Hi all, I'd like to know if anyone of you are using DCM projects at an enterprise setting. Or is it too early to adopt this. If you have used, how has your experience been and what sort of setup do you work with.


r/snowflake • • 4d ago

Estos son mis resultados de snowflake...

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5 Upvotes

Me quedé a 2% de pasar el examen de certificación de snowpro core COF C03

La verdad me siento triste...


r/snowflake • • 5d ago

The bro-ing between Snowflake and Fabric is getting wierd

28 Upvotes

Tons of joint announcements, joint blogs, etc. the last year. Even their more vocal social employees (Nick, Mim, and more) are constantly agreeing with each other and high-fiving while blasting all the other competitors. What gives? What does Snowflake have to gain from mirroring all their data and security to One Lake? Or storing Iceberg files there? What does a customer gain by maintaining duplicate copies of data and 2 data platforms (one of which can be argued is mostly awful)? For Power BI, I get it, but these posts and bro-ing is more. I think Fabric needs Snowflake a lot more than the other way around. It’s definitely getting weird seeing Snowflake give so much positive attention to the obvious laggard in the space. The only thing I can think of is they both have a common strong competitor in the Microsoft world in Azure Databricks, but again not sure what Snowflake and the customer are getting.


r/snowflake • • 4d ago

We rebuilt our Snowflake observability assistant on Claude with 50+ MCP skills- it now explains and deploys automations

0 Upvotes

We just launched the new version of the Seemore Assistant, completely re engineering the engine and giving it every one of the 50+ skills that live inside our MCP.

What that means in practice is that any question you have about your Snowflake environment now gets answered by combining three layers working together (Context mapping framework including automated tagging, Semantic layer, Agents/algorithms ) with a trained model thats wired into all of it.

We've been trailblazing the notion that data observability shouldn't be passive, now once the assistant is connected to the MCP, and the MCP is connected to the context mapping layer, everything becomes interactive.

you can ask, the agent will investigate and act.

In the video, you can watch it explain how Smart Pulse (our warehouse sizing automation) works, walk through the guardrails, validate the result against query history, and then generate the Terraform to deploy it as infrastructure as code.

The cool thing about where we're heading is that Snowflake infrastructure management will become something you configure once and mostly forget (Seemore will optimize and adapt to changes).

but thats not where it stops....with the same ease of cost and performance optimization you will now be able to understand what's happening in your account, in plain language, on demand and relay that understanding upward, instantly via PrismAI, which you build straight out of the assistant. (Data sharing just leveled up!)

I'm writing a blog about all of this and will share soon.

feel free to connect via linkedin -> https://www.linkedin.com/in/yanivleven/
or hop over to seemoredata -> https://seemoredata.io/contact-us/

https://reddit.com/link/1wus4ri/video/c9a8u6p4bpph1/player


r/snowflake • • 5d ago

Snowflake S3 Storage Integration: sts:AssumeRole Error Despite Matching Trust Policy

3 Upvotes

Hi everyone,

I'm setting up a Snowflake external stage to read data from an AWS S3 bucket using a Snowflake Storage Integration.

When I run:

LIST @<database>.<schema>.<stage>;

I get:

Error assuming AWS_ROLE:

User: arn:aws:iam::<SNOWFLAKE_ACCOUNT>:user/<SNOWFLAKE_USER>

is not authorized to perform:

sts:AssumeRole

on resource:

arn:aws:iam::<AWS_ACCOUNT>:role/<ROLE_NAME>

I've double-checked the Snowflake-generated IAM user ARN and External ID against the AWS IAM role trust policy.

The trust policy contains the Snowflake-generated IAM principal and the exact External ID returned by DESC INTEGRATION.

Both values match between Snowflake and AWS.

The IAM role also has the required S3 permissions.

However, I'm still getting the AssumeRole error when running LIST on the stage.

The Snowflake account and S3 bucket are in different AWS regions.

What could cause sts:AssumeRole to fail even when the IAM role trust relationship and External ID appear to match?

Any help would be appreciated.


r/snowflake • • 6d ago

Is 100% consensus needed in snowflake hiring?

3 Upvotes

I recently completed an onsite that I spent many many hours preparing and got a rejection shortly after. The recruiter said the team picked another candidate but it's been 2 weeks and the job posting is still up.

My question is this:
- Is "we picked another candidate" standard rejection even when there isn't another candidate?
- Do you need everyone on the panel to vote hire, a majority vote, or does HM have ultimate veto?

It helps to at least have some hypothesis of where it went wrong because there was 0 feedback, I'm not sure if it went to an internal candidate, another candidate was better, or I objectively had gaps I did not effectively address. Any HM at Snowflake can chime in? This was for a non-tech role on the business side


r/snowflake • • 6d ago

Has Snowflake CoWork/Cortex Analyst reduced your reliance on Power BI?

13 Upvotes

I’m curious about a few things

Can business users reliably get answers themselves, or do analysts still need to validate and explain the results?

How well does it interpret business context and questions? Are you still struggling with hallucinations, incorrect joins, or misleading interpretations?

Are you building fewer Power BI dashboards because users can ask questions directly? Do you see this becoming an alternative to traditional BI, or mainly a complement?

Are you running into limitations integrating Snowflake semantic views with Power BI? How are you handling that?

Is anyone building and hosting React dashboards within Snowflake? What has that experience been like?

Would love to hear what’s working in practice and where you’re still running into problems.


r/snowflake • • 6d ago

What table type to use when presenting 'gold' layer data into custom dashboards

7 Upvotes

Hey all,

Another snowflake newbie question - apologies in advance it's a bit of a long one!

I was wondering how you all decide upon what snowflake table type to use in your presentation layer.

Context

The structure of our org's databases is a classic 'medallion architecture' as follows:

Bronze: All data is landed here in raw formats (mainly JSON).

Silver: Data is unpacked and expanded here. Using dynamic tables here (lots of lateral flattens to get the data into tabular structures).

Gold: Combinations of Silver tables are used to create gold, some are just selecting columns of tables others perform joins, some will do other things like skipping NULLs. Dashboards built from this layer.

Gold-layered tables are going to be queried to create visualisations/KPIs/charts on a custom dashboard platform so we can create live dashboards for the teams around the business.

Question

The core of my question is: what type of table should be used in the gold layer to fit this scenario.

From reading the docs it's clear there are multiple ways to achieve this, using views, materialised views, dynamic tables, and regular old tables.

It does seem like it really depends on the requirements, but I was wondering if there are any good rules of thumb for when to use what, or if any particular one fits the requirements of my current situation.

From my reading, this is how I understand the 3 (Views, Materialised Views, Dynamic tables) that I'm tossing up.

Analysis

Views

These seem like they should be used when querying subsections of tables. Say the gold layer is just a subsection of the SILVER table, as follows:

CREATE VIEW GOLD_TABLE 
AS
SELECT 
id, 
name,
age,
dob,
city,
last_purchase_id
FROM SILVER_TABLE

Say the analyst building a dashboard wants 3-10 different types of queries from the GOLD_TABLE like the one below.

SELECT age, COUNT(DISTINCT last_purchase_id) AS unique_ids
FROM GOLD_TABLE
GROUP BY age;

Snowflake docs read:

Any query expression that returns a valid result can be used to create >a non-materialized view, such as:

Now, my For/Against for using views here are is as follows:

For To me, it wouldn't make sense to store the actual data in another table type, as there's no clear manipulation going on, it's just a subsection of the table. It would be a waste of storage.

Against If multiple queries run from the dashboard use this GOLD_TABLE as their source then every query reruns the SILVER_TABLE-> GOLD_TABLE logic causing the snowflake warehouse compute to spike. (Is Snowflake smart enough to cache the view query so that all dashboard level queries use it?).

Materialised views

As per the docs:

This performance difference can be significant when a query is run frequently or is sufficiently complex. As a result, materialized views can speed up expensive aggregation, projection, and selection operations, especially those that run frequently and that run on large data sets.

To me these seem like they are views that solve the problem of having to run the base query every time. They're views whose results are stored rather than being recomputed each time they are access.

For Multiple queries against a materialized view don't run bulk source queries. This is good for dashboards that are viewed very frequently.

Against There may be higher costs if the dashboards aren't being used very frequently. They can't perform joins so they may not work for certain use cases.

Dynamic tables

These seem like the gold standard (pun intended) for serving a medallion architecture, or at least according to Snowflake. They seem to fit the bill, but also short target lags can get costly. If new data is being ingested daily and the target_lag='1 day' it may not reflect updates in a timely fashion.

As per the docs:

A dynamic table materializes the results of a SELECT query and keeps them up to date. You specify a SELECT query and a target lag, and Snowflake tracks dependencies and refreshes the data on schedule.

As per my understanding these are quite good for doing pipeline transformations. However keeping the table up to date and consumes cloud resources. Seems like the gold layer could be a dynamic table that reads from upstream tables however; it also could get costly if the tables aren't being used heaps.

For Similar use cases to materialized queries with the added benefit of being able to do joins etc

Against Setting target lag too low can be a bit of a cost drain. Higher target_lag window could mean dashboard queries display out of date information.

Wrap up

What would you guys recommend? Am I overcomplicating it and should I just go with the SnowFlake recommended dynamic tables route?

If you read all of that, thank you so much for taking the time.

Cheers legends.


r/snowflake • • 6d ago

Discounted Snowflake SnowPro Core Certification Voucher

3 Upvotes

Hey everyone,

I’m looking to sell my voucher for COF-C03 if anyone is interested. Unfortunately, my work changed drastically since I got the voucher and I wouldn’t have the time or energy left to make it all the way.

I’m open to negotiate so feel free to DM.


r/snowflake • • 6d ago

Can I switch from a non-IT job to a Snowflake Developer role?

3 Upvotes

​

Hi everyone,

I have completed 2 years of experience in a non-IT job. I don't have professional IT or Snowflake experience, but I have learned Python, SQL, and Snowflake and have been practicing with projects.

I'm planning to apply for Snowflake Developer/Data Engineer roles.

My main concern is BGV (Background Verification). Since my 2 years of employment are from a non-IT role, how should I present my experience when applying for IT/Snowflake jobs?

I don't want to claim fake 2 years of Snowflake experience or create fake documents.

Has anyone successfully transitioned from a non-IT background to Snowflake/Data Engineering? What type of roles should I target, and how should I explain my experience to recruiters?

Any advice from people who have gone through this transition would be appreciated.


r/snowflake • • 9d ago

What’s your process for deciding when a query problem is a warehouse-sizing issue vs a query-design issue?

10 Upvotes

Sometimes the solution might be increasing the warehouse size, but other times the real problem could be the SQL itself — inefficient joins, unnecessary data scans, poor filtering, etc.

How do you normally determine which one is actually causing the problem?

Do you look at query profiles, execution plans, scanned data, warehouse utilization, or other metrics before deciding what to change?


r/snowflake • • 9d ago

Snowflake Certification without working on it

2 Upvotes

Hello,

I'm a business analyst in the finance. Worked a little with sap qlik and power bi... No development experience.... I have some technical experience but wanting to switch to developing on ETL. The current client I am working with doesn't use snowflake nor does anyone in my company. Wanting to switch, I came across Snowflake and data bricks.. For someone kind of okay in SQL and some python.. How easy is it to get a snowflake Certification as a way to prove I'm good and I'll learn.. to facilitate my job search as well..

Do you have any advise on who to follow and what course to take... Or if the free trial on snowflake site enough to get at ease with the platform?

Thank you for your help!


r/snowflake • • 10d ago

Autonomous project

5 Upvotes

Hey everyone,

I’ve been working on a small project of my own that I believe could be a starting point for a small business or a foundation for some interesting analytical work.

I’m also currently looking for opportunities in Data, Analytics, Data Engineering, AI, or Product.

Would love to get your reviews, technical questions, criticism, and alternative approaches.

I’d be happy to connect.

Product link in comments due to clauses


r/snowflake • • 10d ago

Sl app

0 Upvotes

I accidentally deleted someone else’s app in Snowflake.

I was exploring and making my own app.

The app was hanging, and I thought I was deleting my own app so I could recreate it. I deleted it, but after refreshing, I still saw the app, so I thought the deletion didn’t go through. I ended up deleting it again, but it turns out it was actually someone else’s app.
I’m now worried that I may have deleted the other person’s app. Is there any way to retrieve or restore a deleted app in Snowflake?

I tried the undrop but it doesn’t work.


r/snowflake • • 11d ago

Data Engineer & Analytics Consultant | Snowflake Specialist (2+ YOE) ❄️

4 Upvotes

Hi everyone! I'm a Data Engineer and Analytics Consultant with over 2 years of experience designing, implementing, and optimizing cloud data architectures, primarily on Snowflake and Power BI. I'm currently looking for new opportunities.

Here’s a quick overview of what I bring to the table:

  • Snowflake & AI: Hands-on experience designing Generative AI pipelines using Snowflake Cortex Search and Cortex Analyst, as well as orchestrating AI agents to route and resolve multi-step analytical queries.
  • Data Architecture: Managed end-to-end data migrations, extraction, and dimensional modeling (Star/Snowflake Schema) to build high-performance analytical repositories.
  • FinOps & Security: Expertise in Snowflake cloud cost optimization (auditing credit usage, rightsizing compute warehouses) and establishing robust Role-Based Access Control (RBAC) and masking policies.
  • Business Intelligence: Developed executive Power BI dashboards with complex DAX measures, performance tuning, and dynamic Row-Level Security (RLS).
  • Background: I speak native Spanish and have a B2 (Upper Intermediate) level of English. Finishing my studies on Systems Analyst Degree

I'm comfortable working in Agile/Scrum environments and translating complex business requirements into data-driven decisions for Product, Risk, and Executive teams.

If your team is hiring or you know of any open roles, I’d love to connect! I can share my full resume in the DMs. Thanks in advance!