Director, BI & Data Engineering
New
S
Salud HealthcareHealthcare analytics
Remote, USAFull-TimeDirector
Salary165,000 - 195,000 USD per year
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Job Details
- Experience
- 10+ years in data warehousing, data engineering, and business intelligence, including 3+ years leading teams.
- Required Skills
- SQLBusiness IntelligenceData engineeringData modelingDatabricks
Requirements
- Bring 10+ years of experience in data warehousing, data engineering, and business intelligence, including 3+ years leading teams.
- Have strong hands-on experience building enterprise data warehouse tables, dimensional and normalized models, ETL/ELT, and stored procedures.
- Demonstrate expert SQL skills.
- Have hands-on Databricks experience with lakehouse, Delta, Unity Catalog, SQL warehouses, and semantic layer development.
- Have experience with an enterprise BI and semantic modeling platform such as Looker/LookML, Omni, or MicroStrategy.
- Have acted as product owner for a BI or data platform, managing roadmap, backlog, requirements, and stakeholder adoption.
- Have required healthcare industry experience with payer, claims, eligibility, and clinical data, including sensitivity and controls related to HIPAA, HITECH, PHI, and BAAs.
- Be able to lead agile delivery while remaining a hands-on contributor.
- Hold a bachelor’s degree in Computer Science, Data/Information Systems, Statistics, or a related field.
- Value-based care experience is strongly preferred.
Responsibilities
- Design, build, and own permanent Databricks EDW tables, dimensional and normalized models, and curated data marts.
- Develop and maintain production ETL/ELT pipelines and stored procedures using SQL, Spark, and PySpark.
- Govern the Databricks platform with Delta and Unity Catalog, managing lineage, access, performance, and workload costs.
- Implement data-quality checks for freshness, completeness, and reconciliation.
- Own the BI solution roadmap, prioritized backlog, requirements, and user acceptance.
- Build and govern the semantic and metrics layer and lead development of governed BI models and dashboards.
- Partner with clinical, operations, finance, and growth stakeholders to develop data products and drive adoption.
- Deliver analytics for value-based care, including HCC/risk adjustment, HEDIS/Stars quality, utilization, MLR, and capitation.
- Lead, mentor, and grow data engineering and BI teams, including offshore resources.
- Run two-week agile sprints and set engineering standards for code review, testing, CI/CD, and environment parity.
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