Senior Engineering Manager, Data Analytics – Data & AI: Kraken

Despite the "Engineering Manager" title, this is effectively a Head of Data Analytics / Analytics Engineering role for a specific domain. You are not managing "Software Engineers" who build the app; you are managing Analytics Engineers and Data Analysts who build the decision-making infrastructure.

You bridge the gap between Raw Data (from the crypto exchange matching engine) and Business Decisions (Product Managers needing to know which trading pairs to launch).

Key Responsibilities
The "Data Product" Owner: You aren't just delivering reports. You are building "Self-Serve" platforms (Looker/Tableau on top of Snowflake) so that the company can answer its own questions.

Infrastructure Partner: You don't build the pipelines (that's Data Engineering), but you define the requirements for them. You tell Data Engineering: "We need this order-book data in real-time, not batch."

Governance & Trust: In crypto, data integrity is everything. If your dashboard says volume is up 10% and it's actually down, traders lose money. You are responsible for the Data Quality (DQ) controls.

People Management: You are hiring and mentoring a technical team. The "Senior" title implies you are likely managing other managers or senior ICs.

Strategic Analysis
The "Data & AI" Context: While "AI" is in the title, the duties focus heavily on Analytics, Reporting, and Warehousing. The "AI" component is likely focused on measuring the performance of AI products or preparing data for AI models, rather than building the models yourself.

Tech Stack: The JD lists Snowflake, BigQuery, Redshift. This suggests Kraken might be in a multi-cloud environment or migrating between them. Experience with dbt (data build tool) is implied under "ELT" and "Data modeling."

The Culture: Kraken is unapologetically "Crypto-Native." They value autonomy, libertarian ideals, and high agency. They are looking for someone who can thrive in a chaotic, high-growth environment without needing hand-holding.

Candidate Profile
The "Full-Stack" Analyst: You have a Master's (strict requirement per the ad) and can write complex SQL, Python, and likely some Java/Scala.

The Strategist: You have moved beyond "building dashboards" to "designing data organizations." You know how to implement an A/B Testing Framework from scratch.

The "Green Card" Match: Because this is likely a PERM ad, the requirements are rigid. If you do not have a Master's Degree + 8 Years of Experience, you will likely be auto-rejected by the legal compliance filter.

Visualizing the Scope
This role sits at the "Managed Analytics" stage of the maturity model. You are moving the org from "Ad-hoc SQL queries" to "governed data products."

Interview Strategy
If you get an interview, focus on Data ROI (Return on Investment).

Wrong Answer: "I built a dashboard that showed daily active users."

Right Answer: "I designed a self-serve data model in Snowflake that reduced ad-hoc queries by 40% and allowed Product Managers to run their own A/B tests, accelerating feature launches by 2 weeks."