Senior Data Engineer Lead to oversee critical data engineering activities within the Digital Health sector

Our valued professional services client client is seeking a Senior Data Engineer Team Lead to oversee critical data engineering activities within the Digital Health sector.

10 month contract (with possible extension), 100% Remote

Responsibilities:

• Provide strategic oversight of data engineering activities, shaping platform strategy and data architecture.
• Act as a technical leader for the team, establishing best practices for data engineering.
• Collaborate with senior leadership and external stakeholders as the senior technical resource for the group.
• Monitor and optimize ARC platform data pipelines to ensure efficient data flow and system performance.
• Work with stakeholders and data SMEs to identify and implement enhancements to ARC platform capabilities.
• Conduct advanced data profiling and quality assessments to ensure data health and integrity.
• Implement and manage data access policies in coordination with the Data Governance and Engineering team.
• Troubleshoot and resolve data-related issues in collaboration with operational support teams.
• Work with source systems to identify and transport necessary data, using methodologies such as SQL, NoSQL, and RESTful.
• Document data extraction processes, optimizations, and enhancements for reference and compliance.
• Apply and update classifications for personal health information (PHI) data elements as required.
• Provide custom data quality rules and conduct associated scans on the data estate.
• Facilitate access to draft materials and ensure feedback is obtained prior to final delivery.
• Produce comprehensive documentation for data pipeline optimizations, operational support, and user training materials.
• Write status reports outlining completed activities and outstanding issues or risks.

Must Have Skills:

• 7+ years of experience in data engineering, with at least 3 years in a team lead or technical leadership role.
• Experience with data profiling, quality assessments, and governance policies (Master Data Management).
• Strong knowledge of data pipeline optimization and data architecture.
• Proficiency in SQL, NoSQL, and RESTful methodologies.

Nice to Have Skills:

• Familiarity with data security and compliance regulations related to personal health information (PHI).
• Knowledge of data integration tools and techniques.

Apply