Consultant/Sr. Consultant, Consumer Analytics Data Engineering
Eli Lilly and CompanyMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design and maintain scalable ETL/ELT data pipelines and lakehouse architectures on Databricks and AWS, supporting consumer analytics and marketing data.
Own platform governance including schemas, permissions, data lineage, and ensure data quality and integrity through Unity Catalog and validation processes.
Develop and publish semantic layers and AI/agentic workflows to enable downstream BI tools and advanced consumer insight analytics.
Minimum Requirements
3-8 years of data engineering experience with hands-on production experience on Databricks.
Bachelor's or Master's degree in Computer Science, Engineering, IT, or related quantitative field.
Deep expertise with Databricks platform components including Unity Catalog, Delta Lake, Workflows, SQL, and cluster management.
Experience with AWS data services (S3, Glue, Redshift, Lambda) and strong programming skills in Python and PySpark.
Ideal Candidate Profile
Experienced building and optimizing multi-hop lakehouse architectures and ETL/ELT orchestration at scale with Databricks and AWS ecosystem.
Capable of translating business/consumer analytics requirements into robust technical data engineering solutions, collaborating with data scientists and marketing teams.
Familiar with semantic layer design and implementing AI-powered data workflows (Databricks AI Functions or similar).