Data Modeler Job at PCCA, Houston, TX

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  • PCCA
  • Houston, TX

Job Description

What We're Looking For

We’re hiring a mid-level Data Modeler to turn diverse healthcare and commercial data into curated, trusted analytics within Microsoft Fabric. You’ll design Gold-layer star schemas and Power BI semantic models to support PCCA’s core domains: product/APIs catalog, membership and education programs, customer orders and fulfillment, cleanroom services, USP compliance and regulatory tracking, clinical/formulary usage, and operational quality. You’ll partner with data engineering and BI to move data from Bronze → Silver → Gold in a Medallion architecture and deliver certified, performant metrics for leadership and operational teams.

What You Will Do

  • Design dimensional models in the Gold layer for PCCA domains:
    • Commercial/Operations: Orders and order lines, inventory availability, shipment/fulfillment, returns, pricing, promotions, member subscriptions.
    • Membership/Education: Membership lifecycle, entitlements, course enrollments and completions (CE), event attendance, certifications.
    • Product/Clinical: Product catalog (APIs, bases, devices), formulations/recipes and versioning, stability/BUD attributes, allergens, SDS/CoA linkage.
    • Compliance/Quality: USP 795/797/800 compliance data, audit findings, corrective actions, sensitivity labeling, support case/ticketing.
  • Define model grain, surrogate keys, conformed dimensions (e.g., Customer/Account, Product, Practitioner, Date, Geography), and role-playing dimensions.
  • Implement SCD Type 1/2 in Delta (Warehouse/Lakehouse) for key dims (Customer, Product, Practitioner, Membership).
  • Handle late-arriving facts/dimensions, inferred members, and bridge tables for many-to-many (e.g., formulation → multiple actives/allergens).
  • Build and maintain Power BI semantic models:
    • Clean star schemas, relationship management, hierarchies, display folders.
    • Author DAX measures for revenue, margin, order volume, fill rates/OTIF, inventory days, membership MRR/retention/churn, education completions, compliance KPIs.
    • Implement time intelligence (MTD/QTD/YTD, PY), semi-additive measures (inventory snapshots).
    • Configure incremental refresh, aggregations where needed, and Row-Level Security (e.g., by region/account team).
  • Optimize performance and cost:
    • Propose partitioning/clustering/Z-ordering strategies in Delta; consider Warehouse materialized views for heavy rollups; reduce cardinality in Power BI; choose pre-aggregation vs. Aggregations in PBI.
  • Collaborate on Medallion data flow:
    • Specify Silver contracts and quality checks (dedupe, CDC alignment, schema expectations).
    • Review Pipelines/Dataflows Gen2/Notebooks outputs for model-readiness and effective dating.
  • Governance and documentation:
    • Maintain data dictionaries, lineage, SCD behavior, and certified metric definitions; apply sensitivity labels and endorsements.
Who You Are

Must Have Qualiffications

  • 3–5 years in data modeling or analytics engineering with strong SQL.
  • Hands-on Microsoft Fabric:
    • Lakehouse/Warehouse, OneLake, Delta tables, Dataflows Gen2 or Pipelines; familiarity with SQL endpoint usage.
  • Dimensional modeling proficiency:
    • Star schemas; fact types (transactional, periodic snapshot, accumulating); bridge tables for M:N; degenerate and junk dimensions.
    • SCD Type 1/2 with MERGE; effective/expiry dating; handling late-arriving data.
  • Power BI semantic modeling and DAX:
    • Clean tabular model design; CALCULATE/KEEPFILTERS/USERELATIONSHIP; date intelligence; semi-additive measures; model properties (data types, sort-by, formatting).
    • Incremental refresh; basic aggregations; RLS.
  • Data quality and governance:
    • Define tests (unique/not-null/accepted values), document metrics, manage endorsements; apply sensitivity labels for PII/regulated data.
  • Communication:
    • Translate stakeholder requirements into grain/facts/dimensions and certified measures; collaborate across DE, BI, and business teams.
Nice-to-Have Qualifications

  • Healthcare/life sciences or pharmacy domain exposure:
    • Product master for APIs/bases/devices, SDS/CoA linkages, allergens, formulations and versioning, USP compliance artifacts, membership programs and CE tracking.
  • Performance tuning in Fabric:
    • Warehouse materialized views/indexing, Delta OPTIMIZE and Z-ordering, partition pruning; direct lake/direct query/composite model patterns.
  • Testing/observability:
    • Power BI dataset testing patterns; data freshness/volume drift monitoring.
  • Git workflows:
    • Power BI Projects (.pbip), Fabric Git integration, environment-based deployment pipelines.
  • Experience with calculation groups for time intelligence; metric layer governance.
Who We Are

PCCA helps pharmacists and prescribers create personalized medicine that makes a difference in patients’ lives. As a complete resource for independent and health system compounding pharmacists, PCCA provides high-quality products, education, and support to more than 3,000 pharmacies throughout the United States, Canada, Australia and other countries around the world. Incorporated in 1981 by a network of pharmacists, PCCA has supported pharmacy compounding for more than 40 years. Learn more at

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