Senior Data Engineer: Azure Databricks & Delta Lake Lead

NexTech Solutions; Pittsburgh (Allegheny County); On-site; USD 120,000 - 170,000; Full time

Job summary

NexTech Solutions is seeking a hands-on Senior Data Engineer to build, operate, and improve an enterprise data warehouse and production pipelines in an Azure Databricks environment. The role covers Bronze, Silver, and Gold layers and focuses on ingestion, transformation, modeling, quality, performance, and reliability.

The Senior Data Engineer will own production data domains, simplify legacy layers, support event-driven ingestion, and mentor other engineers as the platform evolves.

Qualifications

• Six+ years of progressive data engineering experience.
• Experience owning an enterprise data warehouse or large-scale data transformation pipelines in production with defined SLAs.
• Deep Databricks experience in production environments.
• Strong experience with Delta Lake, medallion architecture, Unity Catalog, and Databricks performance optimization.
• Advanced SQL skills and Python/PySpark proficiency.
• Ability to independently build, review, troubleshoot, and optimize complex data transformations.
• Strong data warehousing experience, including dimensional modeling and conformance rules.
• Hands-on Azure Databricks, Azure Data Lake Storage, Azure Data Factory, and CI/CD with Azure DevOps.

Responsibilities

• Design, build, and support enterprise data warehouse pipelines and data models across Bronze, Silver, and Gold layers in Databricks.
• Develop ingestion patterns and Bronze-to-Silver transformations for clean, standardized data.
• Create dimensional and harmonized data models with conformance and survivorship logic.
• Own assigned data domains in production, including data-model integrity and ingestion SLAs.
• Build and maintain Delta Lake pipelines and transition workloads to event-driven ingestion.
• Develop streaming ingestion patterns using Spark Structured Streaming.
• Implement data quality gates and data-contract validation across the lifecycle.
• Build Gold-layer tables for Unity Catalog views, lineage, and governance.
• Optimize pipeline performance, latency, reliability, and compute costs.
• Document architecture decisions, data models, and procedures.
• Review PRs and maintain code quality via Azure DevOps, Git, and CI/CD.

Skills

SQL

Python

PySpark

Databricks

CI/CD

Azure DevOps

Data modeling

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Delta Lake

Unity Catalog

Azure Databricks

Azure Data Lake Storage

Azure Data Factory

Spark Structured Streaming

Kafka

Job description

NexTech Solutions is seeking a hands-on Senior Data Engineer to build, operate, and improve an enterprise data warehouse and production pipelines in an Azure Databricks environment. The role covers Bronze, Silver, and Gold layers and focuses on ingestion, transformation, modeling, quality, performance, and reliability.

The Senior Data Engineer will own production data domains, simplify legacy layers, support event-driven ingestion, and mentor other engineers as the platform evolves.