Director, BI & Data Engineering

TriEdge Investments

10d•$165,000 - $195,000

About The Position

At Salud Healthcare, the Director, BI & Data Engineering owns the Salud Enterprise Datawarehouse (EDW) on Databricks and the business intelligence solution built on top of it. This is a hands-on player/coach role: the director personally designs and builds EDW tables, data models, ETL, and stored procedures while leading a small team through an agile delivery process. The role is responsible for the data platform’s architecture, production pipelines, governance, data quality, semantic layer, and enterprise BI roadmap. It partners with clinical, operations, finance, and growth stakeholders to turn business questions into trusted data products and drive adoption. The director also leads data engineers, BI developers, and offshore resources, while contributing code, models, and reviews. The position requires deep healthcare data experience, including payer, claims, eligibility, membership, and clinical data, and supports analytics for Medicare Advantage and value-based care. It also enforces HIPAA-aligned controls across the data estate.

Requirements

At least 10 years of experience in data warehousing, data engineering, and business intelligence.
At least 3 years of experience leading teams.
Strong hands-on experience building enterprise data warehouse permanent tables, including dimensional and normalized data modeling, ETL/ELT development, and stored procedures.
Expert SQL skills.
Hands-on Databricks experience with lakehouse, Delta, Unity Catalog, SQL warehouses, and semantic layer development.
Experience with an enterprise BI and semantic modeling platform such as Looker/LookML, Omni, or MicroStrategy.
Experience acting as product owner for a BI or data platform, including roadmap, backlog, requirements, and stakeholder adoption.
Required healthcare industry experience involving payer, claims, eligibility, and clinical data, and familiarity with data sensitivity, HIPAA, HITECH, PHI, and BAAs.
Ability to lead teams through agile processes, including sprints, code review, testing, and CI/CD, while remaining a hands-on contributor.
Excellent communication skills with executives and business users, including the ability to translate between technical and business audiences.
Bachelor’s degree in Computer Science, Data/Information Systems, Statistics, or a related field.

Nice To Haves

Value-based care experience.
Master’s degree; preferred but not required.
Direct experience at a healthcare MSO, IPA, ACO, or another value-based-care organization.
Medicare Advantage experience, including HEDIS, HCC/risk adjustment, MMR, eligibility, and X12 837/835/834/270/271 claims transactions.
Experience with dbt, Airflow/Astronomer, or comparable data-platform tooling.
Experience with Azure cloud data services.
Salesforce data pipeline experience.
FinOps or cloud cost management experience.
Experience leading distributed or offshore teams across time zones.

Responsibilities

Design, build, and own permanent Databricks EDW tables, including dimensional and normalized models across Bronze, Silver, and Gold layers and curated data marts.
Develop and maintain production ETL/ELT pipelines and stored procedures using SQL, Spark, and PySpark; set ingestion standards for payer, claims, clinical, and Salesforce data.
Govern the platform using Delta and Unity Catalog, including lineage, access, performance tuning, and workload cost management on Azure and Databricks.
Implement data-quality gates for freshness, completeness, and reconciliation, ensuring failures are traceable and upstream disruptions do not propagate downstream.
Own the BI solution’s vision, roadmap, prioritized backlog, requirements, and user acceptance as product owner.
Build and govern a semantic and metrics layer as the source of truth for business metrics, including Databricks-native semantic capabilities.
Lead development of an enterprise BI platform, such as Looker, Omni, or MicroStrategy, and its governed, reusable models and operational and leadership dashboards.
Partner with clinical, operations, finance, and growth stakeholders to translate business questions into data products and drive organizational adoption.
Deliver healthcare and value-based-care analytics, including HCC/risk adjustment, HEDIS/Stars quality, utilization, MLR, and capitation.
Enforce HIPAA-aligned data controls, including least-privilege access, private networking, encryption, audit logging, and access reviews.
Lead, mentor, and grow a small team of data engineers and BI developers; direct offshore engineering resources; build hiring pipelines and lead interview loops.
Run a two-week agile sprint cadence using JIRA, GitHub, and Confluence, including requirements definition, backlog grooming, sprint planning, reviews, and retrospectives.
Establish engineering standards for pull-request review, tests, CI/CD, and development/QA/production parity; champion AI-assisted development under human review.
Contribute code, models, and reviews alongside the team while maintaining a single prioritized roadmap.