Senior Data Engineer; Databricks

This is a direct hire position (no sponsorship available). Candidates must be able to work onsite 4 days per week.

The Senior Data Engineer (Databricks) leads the design, implementation, and optimization of enterprise scale data solutions that enable analytics, reporting, and data driven decision making across the organization. This role provides technical leadership in building robust data architectures, pipelines, and data models while ensuring high standards for data quality, performance, security, and governance. The Senior Data Engineers partner closely with business leaders, architects, and development teams to translate complex requirements into scalable solutions, mentor junior engineers, and drive the adoption of best practices and emerging data technologies that advance the organization’s data strategy.

• Advanced experience with Databricks
• Lead the design and optimization of databases and data solutions supporting enterprise integrations and applications.
• Architect, build, and govern scalable data pipelines to ensure reliability, performance, and data quality.
• Own and evolve data warehouse architectures to support advanced analytics and reporting.
• Define and enforce standards for data modeling, documentation, and data quality validation.
• Partner with business and technical leaders to translate complex requirements into secure, scalable data solutions.
• Oversee and optimize data platforms, including Azure cloud native solutions and Azure Data Factory pipelines, with a focus on scalability, reliability, and cost optimization.
• Experience using SQL to design, optimize, and support complex data models, queries, and transformations in production data environments.
• Proven ability to independently lead and deliver complex data engineering solutions, manage competing priorities, and troubleshoot high impact data issues.