Lead Data Engineer with Databricks

ALIS Software • Charlotte, NC

2d • Hybrid

About The Position

We are seeking a Lead Data Engineer with Databricks expertise to join our team in a hybrid capacity in Charlotte, NC. This role involves developing high-quality, scalable ETL/ELT pipelines using Databricks technologies. You will be responsible for implementing ingestion patterns, building secure and observable DLT pipelines, configuring Unity Catalog, enabling secure data access, and collaborating on data sharing initiatives.

Requirements

• Excellent programming and debugging skills in Python.
• Strong hands-on experience with PySpark to build efficient data transformation and validation logic.
• Proficient in at least one cloud platform: AWS, GCP, or Azure.
• Insurance domain experience - property and casualty.

Responsibilities

• Develop high-quality, scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader etc.
• Implement ingestion patterns using Auto Loader with checkpointing and schema evolution for structured and semi-structured data.
• Build secure and observable DLT pipelines with DLT Expectations, supporting Bronze/Silver/Gold medallion layering.
• Configure Unity Catalog: set up catalogs, schemas, user/group access, enable audit logging, & define masking for PII fields.
• Enable secure data access across domains & workspaces via Unity Catalog External Locations, Volumes, & lineage tracking.
• Access and utilize data assets from the Databricks Marketplace to support enrichment, model training, or benchmarking.
• Collaborate with data sharing stakeholders to implement Delta Sharing — both internally and externally.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed