Senior Solution Architect
About The Position
Mass General Brigham Digital creates strategic, clinical, and operational value through technologies supporting patients, care teams, researchers, and employees. The Senior Data Analytics Platform Architect designs, implements, and maintains secure, scalable, user-centered data analytics platforms, shaping architecture strategies for enterprise data platforms, data transformation, business intelligence, advanced analytics, and machine learning initiatives. The role partners with cross-functional stakeholders and technical teams to meet current business needs and prepare for future data-driven innovation. This is a hybrid role requiring onsite work based on weekly or monthly business needs. The schedule is Monday through Friday during Eastern business hours, with 40 scheduled hours per week. On remote workdays, employees must use a stable, secure, compliant workstation in a quiet environment. Teams video must be accessed using Mass General Brigham-provided equipment.
Requirements
- Bachelor’s degree in a related field; relevant experience may be considered in lieu of a degree.
- 8–10+ years of experience across network architecture, data warehousing, software development, systems architecture, and database design.
- 5–7 years of experience in data analysis, including data interpretation, modeling, and reporting.
- Strong expertise in information security, network architecture, and data architecture.
- Experience designing, implementing, and securing systems across LAN/WAN, SANs, and cloud environments such as AWS, Azure, or Google Cloud Platform.
- Knowledge of routing, networking protocols, and performance optimization.
- Deep understanding of data warehousing, data modeling, relational databases, dimensional modeling, and SQL query optimization.
- Experience with data integration and ETL tools such as Informatica, DataStage, SSIS, and cloud-based data platforms.
- Understanding of software architecture and development principles, including microservices, service-oriented architecture, APIs, scripting, and DevOps automation.
- Knowledge of data governance, privacy regulations, data security practices, and cybersecurity considerations.
- Strong analytical, diagnostic, problem-solving, and communication skills.
- Commitment to continuous learning and staying current with emerging technologies and industry trends.
Nice To Haves
- Master’s degree preferred.
- Experience in healthcare or another regulated industry preferred.
Responsibilities
- Provide strategic direction and technical leadership for enterprise data analytics platforms.
- Design end-to-end architecture for data ingestion, processing, storage, security, governance, and visualization.
- Build and maintain scalable data platforms, including data pipelines, data lakes, data warehouses, and real-time streaming solutions.
- Partner with stakeholders to understand business needs and translate them into secure, effective technical solutions.
- Define standards, best practices, and governance frameworks for data quality, security, privacy, and compliance.
- Evaluate and recommend technologies across cloud, on-premises, and hybrid environments.
- Support advanced analytics, machine learning, artificial intelligence, and business intelligence initiatives.
- Monitor platform performance, troubleshoot issues, and optimize solutions for reliability, cost, and efficiency.
- Document architecture, workflows, data models, and platform decisions to support transparency and long-term maintainability.
- Mentor engineering teams and promote adoption of platform standards, lessons learned, and best practices.
- Communicate vision, value, and adoption strategies to support organizational change and new initiatives.
- Assist with interviewing, onboarding, and orientation for technical roles as needed.
Benefits
- Comprehensive benefits
- Career advancement opportunities
- Differentials and premiums, as applicable
- Bonuses, as applicable
- Recognition programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
