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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Implement and maintain data contract specifications that codify table ownership, schema expectations, and quality thresholds.
- Enforce standards through automated validation in the deployment pipeline.
- Collaborate with data owners to improve metadata coverage across the team's data estate.
- Contribute to an automated scoring pipeline that evaluates data assets on their readiness for AI and analytical use.
- Build and maintain the jobs that collect quality signals and surface scores to data teams.
- Support the discovery and classification of sensitive data across the data estate.
- Maintain tagging and lineage automation frameworks.
- Monitor AI usage across the company, defining new avenues for AI assistance.
- Build systems that make people actually trust AI outputs regarding data, including query accuracy checks and clear attribution.
- Build and maintain the semantic framework that makes data assets more legible to both people and AI systems.
- Proactively leverage AI tools to accelerate development, maintain code quality, and explore new approaches to data engineering problems.
- Partner with adjacent teams to onboard data assets into the AI-ready platform.
Requirements
What you’ll need- 3+ years of software engineering experience with a focus on data engineering, analytics engineering, or backend development.
- Proficiency in Python and SQL.
- Knowledge of Databricks and familiarity with medallion architecture (bronze/silver/gold) or similar layered data design patterns.
- Experience implementing semantic layers to ensure AI agents utilize governed, consistent metric definitions rather than querying raw tables directly.
- Understanding of data governance concepts (metadata standards, data ownership, schema enforcement, access control) and experience keeping data assets clean and well-documented.
- Experience with schema validation, data freshness monitoring, data observability tooling, or similar quality practices.
- Experience using and/or building LLMs, NQLs, and other AI-related toolings, especially in relation to data analytics.
- Proficiency in AI-assisted coding platforms (Claude, Copilot, Cursor, etc.) a plus.
- Bachelor's degree in Computer Science, Engineering, or a related field.
Benefits
Comp & perks- competitive pay
- flexible time off
- benefits package (including medical, dental, vision)
- Employee Stock Purchase Program
- 401k match
- paid parking
- snacks and occasional meals
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLDatabricksmedallion architecturesemantic layersschema validationdata freshness monitoringdata observability toolingLLMsNQLs
Soft Skills
collaborationcommunicationproblem-solvingtrust buildingproactivity
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering