Senior Data Engineer - Databricks

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

• Cost optimization and performance tuning in cloud environments

• Corporate/enterprise data warehousing background