Role in brief
Talos is seeking a Principal Engineer for their Data Quality Platform to ensure data correctness and governance. This role is ideal for experienced data quality leaders familiar with streaming data and API behavior.
About the role
At Talos, you'll lead initiatives to enhance the Data Quality Platform, focusing on ensuring data correctness and governance in a hybrid work environment. Your work will involve validating client-facing endpoints and applying innovative techniques to enhance data quality operations.
As part of a globally distributed team, you'll collaborate with experienced engineers and business leaders to drive the adoption of digital assets. Success in this role means effectively managing data quality across various environments and client entitlements, while fostering a culture of trust and collaboration.
Skills that matter here
- Flink: This role utilizes Flink for processing streaming data in real-time.
- Doris: Doris is used for managing data governance and cataloging.
- Dagster: Dagster supports the orchestration of data quality workflows.
- Spark: Spark is leveraged for performance and load testing of distributed systems.
- OpenMetadata: OpenMetadata is important for maintaining a catalog of data assets.
Who this role suits
- You have a strong background in leading data quality or QA teams, particularly in high-throughput environments.
- You are familiar with the intricacies of streaming data and API behavior, including performance testing.
- You thrive in collaborative settings and value inclusivity and diverse perspectives.
- You have practical experience with advanced tooling and techniques to solve engineering challenges.
From the employer
Responsibilities
- Lead AI-first data quality engineering
- Validate every client-facing endpoint continuously, focusing on REST and WebSocket APIs
- Assert correctness against independent sources of truth, across every environment and client entitlement
- Cover streaming as well as request/response
- Use adaptive detection, not static thresholds
- Apply LLM and agentic tooling to generate checks from API specs and schemas
- Test resilience and load, design load, performance and failure-mode tests
- Drive data governance and maintain a catalog of data assets and APIs
- Own reference and security master data
- Expand data quality coverage beyond client APIs
Qualifications
- A track record of leading data QA or data quality teams, preferably on market data or other high-throughput, real-time data
- A deep understanding of streaming and API behaviour: throughput, WebSocket semantics, ordering, recovery and failure modes
- Experience inventorying and testing a large API and data surface end to end
- Hands-on experience with data governance: cataloging, lineage, ownership
- Experience with performance and load testing of distributed systems
- A strong engineering background, designing platforms on shared infrastructure
- Practical experience applying LLM and agentic tooling to engineering problems
Benefits
- Retirement plan contributions
- Unlimited Vacation + a PTO bonus: Employees that take 15 days of vacation, with 5 days being consecutive, receive a $2000 USD bonus
- Yearly discretionary cash bonus
- Employee stock options plan
- Medical, dental, and vision insurance
- Paid parental leave for 20 weeks, after 1 year of service
- Global offsites and team outings
- A one-time stipend towards at-home office set-up for all employees
- A wellness credit of $50 accrued monthly
- A lunch credit of $25 USD towards lunches for days in-office
- Other in-office perks: Catered lunches on Tuesdays, snacks, and drinks
Questions about this role
What is the remote policy?
The position is hybrid, allowing for a mix of in-office and remote work.
What seniority level is this role?
This is a senior-level position.
How do I apply for this role?
Candidates can apply through the Talos website.
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