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

4 weeks ago

Toronto Ontario CA, Ontario S.i. Systems Full time

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.
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