- Interesting Data Gigs by Marcos Ortiz
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- Interesting Data Gigs # 50: Senior Cloud Support Engineer at Snowflake
Interesting Data Gigs # 50: Senior Cloud Support Engineer at Snowflake
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Hello, Data Geek. This issue is very special because it’s number 50.
In my wildest dreams, I saw this incredible amazing community we have created here. My goal is the same as when I started: I just want to help you to get that fantastic Data role you have dreamed of. That’s it.
We have come a long way, but we are just getting started.
As I said: this issue is special, so I wanted to write about a role in one of my favorite data-focused companies out there: Snowflake.
First things, first: What is Snowflake
Thanks to the new AI’s writing assistant from beehiive, I just generated this great definition of Snowflake:
Snowflake is a cloud-based data warehousing platform that revolutionizes the way organizations store, manage, and analyze their data. With its unique architecture, Snowflake enables businesses to effortlessly scale their data storage and processing capabilities, providing them with the agility and flexibility needed to adapt to ever-changing data demands.
By decoupling storage and compute, Snowflake allows users to independently scale each component, resulting in optimal performance and cost efficiency. Its built-in security features ensure data privacy and compliance, while its intuitive user interface and powerful SQL capabilities make it accessible to both technical and non-technical users. Snowflake's ability to seamlessly integrate with popular data visualization and analytics tools further enhances its value, empowering organizations to derive valuable insights from their data and make data-driven decisions with confidence.
And of course, we need to share the numbers of the company because Snowflake is a public company with a market cap of $56.03 Billion at the time of this writing (July 13th, 2023)
Snowflake is going after a big market: $248 Billion to be exact
A Net Revenue Retention of 151%
A 50% Year After Year Product Revenue Growth
An Annual Revenue of $2,066 Millions for a 69% YoY growth
Total Customers of 8,167, 373 spend more than $1M per year, and 590 of them are part of the Forbes Global 2000 Customers
Although Snowflake is not profitable yet, the margins are improving year by year, and with the strategic partnerships they have formed with Microsoft and NVIDIA; this will improve dramatically in the upcoming years.
Let’s focus on the role now.
Let’s dissect the job description
The role itself is called SENIOR CLOUD SUPPORT ENGINEER - DATA PLATFORM, and this one is located in San Mateo, California; but the same role is available in several regions of the world like Amsterdam, Dublin, Warsaw, Sao Paulo, and more.
Why Customer Support at Snowflake? Because from my perspective, this is one of the most critical roles in the company.
First: you will learn a ton about how the product actually works and performs in different scenarios, you will work with incredible but highly technical customers, and more important: you will work with a high-class engineering team and you could become one of the “Voices of the Customer” for the Product and Engineering team.
Let’s discuss 2 ideas on how to approach this job application (THE REAL MEAT)
Idea # 1: Use these resources to prepare yourself for the interview process
Buy the “Amp It Up: Leading for Hypergrowth by Raising Expectations, Increasing Urgency, and Elevating Intensity” book by Frank Slootman, and the “Data Modeling with Snowflake” book by Serge Gershkovich. The first one will give you a sense of how Frank operates and how he inserted this sense of urgency and demanding excellence at work. The second one is not an obligation but if you work with Snowflake, this book from Serge will give you an edge here.
Watch Frank Slootman in the No Priors Podcast. This conversation with Sarah Guo on the No Priors podcast is amazing. This is a must-watch for anyone who wants to join Snowflake today
Watch the keynotes and major announcements from the past Snowflake Summit, especially the partnerships with NVIDIA and Microsoft, the Dynamic Tables feature, Snowpark ML, and much more
Follow the Snowflake team on Medium: There are so many great people sharing incredible content related to Snowflake on Medium, so you must follow their work there.
Read How Snowflake Builds Products in Lenny Rachitsky’s newsletter with Jeff Hollan (Director of Product - Snowpark, Ecosystem, and Developer Platform at Snowflake). A lot of great tips to understand how the company creates their products
Idea # 2: Make a little research using the #snowflakesummit and #snowflakesummit2023 hashtags on LinkedIn and Twitter, and ask some Snowflake customers which are their biggest pains today.
Collect all the feedback in a Google Doc document, and share it in the cover letter when you apply for the role, with some potential resolutions for these issues.
For example: if one of the biggest barriers in order to use Snowflake more effectively are the costs; perhaps using a tool like Keebo could solve the problem.
BTW, this video is a great start
If you are interested to know more about Keebo, chat with Blake Hammond.
Wrapping up
I could stay all day giving you reasons why you should join Snowflake, but I won’t do that. Simply: Take action and apply for the job there.
Good luck with your application.
Featured role of the week
Senior Full-Stack Data Scientist at Caribou Digital (Only LATAM-based candidates)
We’re looking for a senior analyst with experience in data science, statistics, and ML/ generative AI to join the Caribou Digital team. The right candidate will be responsible for analyzing data across the business for both internal and external clients, including our proprietary mobile data analytics platform, first-party surveys, public data sets (e.g. Findex), commercial sales activity data, and more. Generalists with experience doing end-to-end ETL, building dashboards and visualizations, and even helping to configure our AWS services, are especially valued.
Are you looking to hire more Data focused professionals? Access to our Talent Collective with 43 ready-to-interview candidates
Job Search Resources of the Week
✅ Love this conversation between Ryan Roslansky (CEO of LinkedIn) and Athletic Greens President and COO Kat Cole.
✅ Katelyn Bourgoin (one of my favorite creators out there and the writer behind the Why We Buy newsletter) is thinking seriously about the future of her venture.
So, perhaps she will hire new people for her team. Follow her on Twitter and subscribe to her newsletter
I want to unlock the full potential of Why We Buy
As I think through what's next, I felt overwhelmed by all the moving pieces
Then I reframed my thinking
I stopped asking "how?" and started asking "who?"
I don't need to figure it out alone
It's time to grow the team
— Katelyn Bourgoin (@KateBour)
Jul 12, 2023
✅ Can Social Media get you hired? According to Bonnie Dilber, you can optimize your profiles for that, especially on LinkedIn
✅ Mercury is looking for a VP of Product Engineering
Know anyone that:
A) has lead an eng team of >100
B) cares deeply about engineering sick products
C) wants to help scale @mercury to incredible heightsWe are looking for a VP of product engineering.
DM me any referrals!
— immad (@immad)
Jul 12, 2023
✅ Negotiating a job or promotion offer? This list of resources shared by Varun Negandhi is incredible
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Interesting reads of the week
Introducing NotebookLM, by Raiza Martin and Steven Johnson
Framework for Founders: Where to Apply AI in Financial Services, by Lotti Siniscalco (Partner) and Kyle Murphy (Associate) from Emergence Capital
Brex’s Second Act, by Mario Gabriele from The Generalist
How I transitioned from mid-level data engineer at Facebook/Meta to senior software engineer at Netflix in less than 1 year, by Zach Wilson
Live Data Engineer Project Workshop Powered By Mage, by Deepak Goyal
Photoshop Performance Prediction Using Data Science, by Kunal Khadilkar from Adobe
Final words
My final message? Just take action, my friend.
Marcos out
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