Senior Data Engineer - Databricks
Senior/Lead Data Engineer at Dataeconomy, a data & analytics consultancy in Raleigh, NC. Day to day: building production ETL/ELT pipelines on Databricks (PySpark, Spark SQL, Delta Live Tables, Workflows, Unity Catalog) using Medallion architecture, with streaming ingestion, data quality, orchestration and cloud (AWS/Azure/GCP) work.
- Compensation
- Not disclosed
- Location
- Raleigh, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Strong Python (PySpark) and SQL programming
- Databricks — Spark, Delta Lake, Workflows, Unity Catalog
- ETL/ELT pipeline development — Medallion Architecture (Bronze/Silver/Gold)
- Delta Live Tables, Auto-Loader, Structured Streaming
- Data modeling — dimensional (star/snowflake), normalization/denormalization
- CI/CD, Git, job orchestration
- Cloud experience — AWS, Azure, or GCP
- 7–10+ years in data engineering
- Experience with modern data lakehouse concepts and distributed systems
- Strong SQL performance tuning skills
Nice to have
- Lakeflow Connect, LSDP/Lakehouse, Genie, Agent Bricks/RAG use cases
- Data governance, metadata management, Unity Catalog advanced features
- Airflow, dbt, or similar orchestration tools
- Data security, compliance, and access models
- Cost optimization and performance tuning in cloud environments
- Corporate/enterprise data warehousing background
Full description
DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.
We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.
Senior/Lead Data Engineer — Databricks
Raleigh NC
Full-time
- Build scalable, production-grade ETL/ELT pipelines using Databricks (PySpark, Spark SQL, Delta Live Tables, Workflows).
- Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.
- Develop optimized transformations, data quality rules, and reusable framework components.
- Implement best practices for job orchestration, monitoring, alerting, and automation.
- Hands-on experience: Spark, Delta Lake, Workflows, Unity Catalog.
- Strong SQL programming and performance tuning skills.
- Experience with cloud environments (AWS/Azure/GCP).
- Experience with modern data lakehouse concepts and distributed systems.
- Strong understanding of Lakeflow Connect, LSDP/Lakehouse, Medallion Architecture, Data Validations, Genie, and Agent Bricks/RAG use cases.
- Should be able to explain these concepts using real project examples and architecture decisions.
Requirements
- Strong Python (PySpark) and SQL programming
- Databricks — Spark, Delta Lake, Workflows, Unity Catalog
- ETL/ELT pipeline development — Medallion Architecture (Bronze/Silver/Gold)
- Delta Live Tables, Auto-Loader, Structured Streaming
- Data modeling — dimensional (star/snowflake), normalization/denormalization
- CI/CD, Git, job orchestration
- Cloud experience — AWS, Azure, or GCP
- 7–10+ years in data engineering
Nice-to-Have Skills
- Lakeflow Connect, LSDP/Lakehouse, Genie, Agent Bricks/RAG use cases
- Data governance, metadata management, Unity Catalog advanced features
- Airflow, dbt, or similar orchestration tools
- Data security, compliance, and access models