Senior Analytics Engineer: Databricks & AWS Lakehouse Lead

Bristol-Myers Squibb; United States; On-site; USD 130,000 - 170,000; Full time

Job summary

Bristol Myers Squibb is seeking an experienced Senior Analytics Engineer to design, build, and scale the analytics layer between raw data and business insights for commercial analytics. You will own the transformation logic, dimensional models, and metrics that power dashboards and self-serve BI on the Databricks Lakehouse.

You will mentor junior developers, collaborate with analysts and data scientists, and partner with business stakeholders to ensure data quality, governance, and scalable

Qualifications

• Expert hands-on experience with Databricks notebooks, jobs/workflows, clusters, Unity Catalog and Delta Lake
• Strong data modeling for analytics using star/snowflake schemas and lakehouse concepts
• Solid experience with AWS services (S3, IAM, Glue, Lambda) supporting a Databricks Lakehouse
• Advanced SQL and Python for data transformation, modeling, and validation at scale
• Experience with analytics engineering frameworks and governance of semantic/metrics layers
• Experience with workflow orchestration tools (Airflow, Databricks Workflows) and CI/CD practices
• Familiarity with data governance concepts, lineage, and security controls

Responsibilities

• Design, build, and own scalable analytics-layer transformations on Databricks
• Architect analytics-ready data models (star/snowflake) for business logic
• Own performance tuning and cost optimization of Databricks workloads
• Design and manage AWS-based data architecture underpinning the Lakehouse
• Architect and optimize large-scale datasets
• Establish testing, validation, and CI/CD practices for analytics code
• Lead technical design reviews and mentor engineers
• Mentor junior developers and collaborate with stakeholders to define metrics

Skills

Databricks expertise

Delta Lake

Data modeling analytics

AWS cloud platform

SQL and Python

dbt

Workflow orchestration

Git/CI-CD

Tools

Airflow

dbt on Databricks

Job description

Bristol Myers Squibb is seeking an experienced Senior Analytics Engineer to design, build, and scale the analytics layer between raw data and business insights for commercial analytics. You will own the transformation logic, dimensional models, and metrics that power dashboards and self-serve BI on the Databricks Lakehouse.

You will mentor junior developers, collaborate with analysts and data scientists, and partner with business stakeholders to ensure data quality, governance, and scalable