Responsibilities
- Design, develop, and implement data pipelines and ETL/ELT code to support business requirements.
- Work on cross-functional teams delivering enterprise solutions for internal and external clients.
- Assume ownership for delivering code revisions and enhancements from design through development and production installation.
- Maintain and optimize various components of the data pipeline architecture.
- Become subject matter expert for internal and external data products.
- Ensure design solutions can scale and meet technical standards and performance benchmarks.
- Identify inefficient processes and develop recommendations and design solutions.
- Lead code review sessions to validate technical solutions and facilitate knowledge sharing.
- Works with cross-functional teams to understand functional product requirements and deliver on strategic data and analytics initiatives.
- Design, build, test and maintain architectures within the ‘Quality Data Hub’ of our cloud-based enterprise data warehouse.
- Build ETL/ELT ingestions for OCMO related data and handle related monitoring and support duties.
- Accrues advanced knowledge of the OCMO product domains and can quickly apply development strategies to meet the stakeholder requirements for the data products.
- Define and implement the processes and tooling through which enterprise curated data models are built and maintained.
- Partners with solutions architects, analytics engineers, and data visualization developers to understand data extraction and transformation needs and builds a platform and related processes suited to them.
- Develop and enforce change management and versioning processes for code promotion.
- In collaboration with lead analytic staff, architect and enforce thorough quality assurance, testing and peer review procedures to ensure the accuracy, reliability, and validity of end products.
- Helps identify potential bottlenecks within the development lifecycle and propose high-level strategies to overcome them.
- Triage, troubleshoot and resolve data issues from end users and internal team members.
- Build and foster relationships with senior leadership/physicians and key program stakeholders to understand multifaceted business problems and develop analytical solutions to complex issues to satisfy reporting and analytical needs.
- Supports other team members with promotion to production, ensures a consistent process across the team; informs other data engineers and domain team leads of new changes to promotion process.
- Guide and train data engineers by familiarizing them with the data products they will use and providing them with relevant information about OCMO domains.
- Follows MGB Digital guidelines and standard practices to leverage existing tools and methods to efficiently develop modeling solutions, ensure that work is not duplicated, and is appropriately transitioned between teams.
- Uses the Mass General Brigham values to govern decisions, actions, and behaviors.
Work Arrangement
Hybrid
Team
Structure: Cross-functional teams delivering enterprise solutions for internal and external clients.
Additional Information
- Hybrid with onsite work required in office, candidate must be flexible for weekly or monthly business needs.
- M-F Eastern business hours required.
- On remote workdays, employees must use a stable, secure, and compliant workstation in a quiet environment.
- Teams video is required and must be accessed using MGB-provided equipment.
- Employees must use MGB-provided equipment to access Teams video.
- Pay Range: $92,102.40 - $134,056.00/Annual.
- Scheduled Weekly Hours: 40.
- Work Location: 399 Revolution Drive.
