Extraordinary People. Extraordinary Results.
Director, Data Platform
Location
California + 1 moreAll locations: California | Texas
Posted
30 days ago
Salary
$190K - $220K / year
Seniority
Lead
Job Description
Director, Data Platform
Intercare Holdings Insurance Services
• Own the Azure Fabric architecture end-to-end: workspace topology, OneLake / Iceberg storage strategy, dev/test/prod separation, capacity sizing, governance • Lead a 4-person surge team (Data Architect, two Data Engineers, Business Analyst) through a 6-month build • Define the Bronze ? Silver ? Semantic layered architecture, with a Gold semantic schema expressed in AvonRisk business terms so reports, dashboards, and AI models survive future claims-platform migrations • Drive the Fabric Mirroring validation for our claims system and design the ADF fallback where Mirroring isn't viable • Architect multi-tenant PHI security: client-segregated PHI workspace + masked cross-tenant analytics layer, with RLS and Fabric secure data sharing for client portal access • Stand up the customer-facing analytics portal (Power BI Embedded or Fabric-native) with a 10+ client pilot live by end of Month 6 • Establish data catalog, lineage, DQ, and governance using Microsoft Purview and Fabric-native tools • Operate the platform as a permanent capability — uptime, performance, capacity, cost • Onboard additional source systems as AvonRisk grows through acquisition and new programs • Build the AI/ML feature foundation that underpins our agent roadmap • Collaborate closely with product builders, claims operations, and client-facing teams to keep the semantic model aligned with business needs
Job Requirements
- 7+ years of hands-on data platform work, including 3+ years on a modern cloud lakehouse or warehouse (Fabric, Snowflake, Databricks, BigQuery, or Synapse)
- Production Azure Fabric experience preferred — alternatively, deep Azure data experience (Synapse, ADF, ADLS Gen 2, Power BI Premium) and a credible plan to come up to speed on Fabric in week one
- Power BI semantic modeling at depth — DAX, dataset design, Direct Lake mode, Row-Level Security
- Modern data engineering posture: DBT (or equivalent — SQLMesh, Coalesce) for transformation engineering
- data testing frameworks (dbt tests, Great Expectations)
- ADF, Fabric Pipelines, or equivalent orchestration
- CI/CD for data
- infrastructure as code (Bicep / Terraform)
- Git-based workflows for analytics code
- Dimensional modeling judgment — when to denormalize, when to conform, when to wait
- Strategic data product thinking.
- Excellent written communication.
Benefits
- Comprehensive medical, dental, and vision benefits
- Company contributions to HSA and FSA plans
- Employer paid life and disability insurance
- 401(k) with company match
- Paid time off (PTO) and company paid holidays
- Learning and development opportunities that support real career advancement
- Employee assistance resources and a supportive culture that values balance and wellbeing
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