Senior Data Engineer
Core
Design, build, and operate enterprise data platforms, lakes, and warehouses to power reporting, analytics, and AI/ML workflows for a global law firm.
Role type
Senior Data Engineer (Enterprise Data Platforms & AI Data Infrastructure)
Builds
Scalable data lakes, warehouses, ETL/ELT pipelines, and model-ready datasets for AI/ML.
Domain
Legal Services / Enterprise Data Engineering / AI Infrastructure
Required skills
SQL, Python, Data Warehousing, Data Lakes, ETL/ELT, Cloud Platforms, Database Administration, Query Optimization, Feature Engineering, Data Governance
Preferred skills
Apache Spark, Apache Airflow, Vector Databases, RAG pipelines, MLOps, CI/CD
Technologies
AWS, Azure, Google Cloud, Snowflake, Databricks, Tableau, Power BI, iManage, Workday, PeopleSoft
Responsibilities
Design and maintain scalable data lakes and warehouses; Develop automated ETL/ELT pipelines; Administer relational databases and optimize performance; Prepare and serve high-quality datasets for AI/ML model training; Build dashboards and reports using BI tools; Mentor junior data engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities
