Senior Data Engineer, AI & Agents
About The Position
As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The role centers on building and registering domain-grounded data agents over governed datasets, performing lakehouse migrations, and onboarding new data domains — including commercial, finance, research and development, and real-world data — onto the enterprise data platform. You will operate across Databricks and Snowflake, converting source tables to open formats and generating the catalogue metadata that powers downstream automation and data-contract workflows, all while ensuring high data quality, governed access, and reliable agent-based access to trusted data. The ideal candidate brings deep, hands-on data engineering expertise, strong governance instincts, and excellent stakeholder-facing skills.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 5+ years of professional experience in data engineering, with significant hands-on experience across modern data warehousing and lakehouse platforms (Databricks and Snowflake preferred).
- Strong data engineering background with genuine, hands-on fluency across both Databricks and Snowflake.
- Demonstrated experience building data agents or query interfaces over governed datasets (e.g., Snowflake Cortex or Genie).
- Advanced SQL together with Spark / PySpark, and experience with pipeline orchestration (dbt, Apache Airflow, or Databricks Workflows).
- Experience implementing data quality, observability, and lineage, and applying governance controls such as masking and row- and column-level security.
- Excellent stakeholder-facing skills, with a track record of translating business requirements into delivered data assets.
Nice To Haves
- Familiarity with MCP-based data exposure and with embeddings or vector search for retrieval-augmented use cases.
- Experience with AWS and S3, in anticipation of onboarding native cloud data sources.
- Experience with regulated life-sciences data domains (clinical, commercial, or real-world data).
Responsibilities
- Build and register domain data agents at scale over governed tables across Databricks and Snowflake.
- Perform lakehouse migrations, including converting source tables to open formats (e.g., Apache Iceberg) to enable agent-based access.
- Generate and curate catalogue metadata that feeds downstream automation and data-contract workflows.
- Partner with business stakeholders and subject-matter experts through iterative build, test, and validation cycles.
Benefits
- Challenging and rewarding work with real impact
- Direct Access to Cutting-Edge AI Platforms
- Diverse and Inclusive Culture
- Growth opportunities for personal and professional development
- A collaborative and innovative work environment where your ideas are valued
- Exposure to exciting projects and high-profile clients
- Supportive work environment with access to company leaders
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What This Job Offers
Job Type
Full-time
Career Level
Senior
