Lead the evolution of data and analytics engineering within a mission-driven public health technology organization. This role is responsible for shaping the strategic direction of data capabilities, ensuring systems are robust, scalable, and aligned with both technical excellence and real-world public health impact.
Key Responsibilities
- Define and execute a comprehensive analytics strategy that prioritizes scalability, usability, and measurable business and public health outcomes
- Collaborate closely with Product, Engineering, and cross-functional teams to identify data needs and translate them into effective technical solutions
- Lead the development and refinement of data models that support accurate reporting, executive dashboards, and advanced analytics use cases
- Design, build, and optimize SQL-based data pipelines across Azure SQL and SQL Server environments
- Oversee Power BI implementation, including Direct Query architectures and paginated reporting for operational and leadership reporting
- Enhance ETL and ELT processes to ensure data reliability, performance, and maintainability
- Implement data observability practices using tools such as Application Insights to detect and resolve issues proactively
- Guide technical decisions for .NET-based data services, including the use of Entity Framework and related components
- Mentor engineers and elevate team-wide proficiency in data engineering best practices
- Promote organization-wide data adoption by improving access, clarity, and confidence in analytics outputs
Required Qualifications
- Proven experience managing production SQL environments, including T-SQL, Azure SQL, and SQL Server
- Track record building and scaling Power BI solutions, with expertise in Direct Query and paginated reports
- Firm grasp of data modeling, schema design, and ETL/ELT pipeline architecture
- Experience working with .NET technologies such as C# and Entity Framework in data-intensive applications
- Ability to communicate complex data concepts clearly to both technical and non-technical audiences
- Leadership experience mentoring data or engineering professionals and improving team output quality
- Strong collaborative skills with stakeholders across engineering, product, and business functions
- Strategic thinker who can align long-term data vision with immediate organizational needs
Preferred Qualifications
- Hands-on experience with Microsoft Fabric and modern data platform consolidation
- Advanced Power BI skills, particularly in performance tuning and complex report development
- Experience implementing efficient data access patterns using lightweight tools like Dapper or RepoDb
- Familiarity with API documentation tools such as NSwag or Swashbuckle
- Proficiency with YAML or JSON for configuring data pipelines and services
- Scripting experience using PowerShell for data automation or infrastructure tasks
- Background in data observability, including monitoring, alerting, and root cause analysis
- History of driving adoption of new data platforms or reporting standards across teams
Technology Environment
SQL, T-SQL, Azure SQL, SQL Server, Power BI, Direct Query, paginated reporting, ETL, ELT, .NET, C#, Entity Framework, Application Insights, Microsoft Fabric, Dapper, RepoDb, NSwag, Swashbuckle, YAML, JSON, PowerShell
Work Environment
This is a hybrid role with a virtual-first approach, designed to support flexibility while maintaining strong team collaboration. The culture emphasizes accountability, initiative, and continuous learning.
Core Values
- Teamwork and mutual accountability
- Relentless focus on client outcomes
- Encouragement of curiosity and professional growth
- Open, honest feedback to support development
- Empowerment of self-starters who drive impact
Impact
In this role, your work directly contributes to improving public health outcomes. By ensuring data is accurate, accessible, and actionable, you help stop the spread of disease and support better health at the individual, community, and population levels.
