{"schemaVersion":"jobsearcher.job.v1","id":"f7bc4b3efe18f9d9c32d7def","url":"https://jobsearcher.com/jobs/f7bc4b3efe18f9d9c32d7def","canonicalUrl":"https://jobsearcher.com/jobs/f7bc4b3efe18f9d9c32d7def","title":"Data Architect – PBM Data Modernization","description":"This is a remote position.Data Architect – PBM Data Modernization Location: Remote (US Only) Industry: Pharmacy Benefit Management (PBM) Platform: Google Cloud Platform Role Overview We're looking for a Data Architect to lead data modeling and source-to-target mapping for a Pharmacy Benefit Manager (PBM) modernization program on Google Cloud. The role covers migrating legacy claims and eligibility data, and the IBM Cognos reporting built on it, into a new BigQuery-based enterprise data warehouse. It also ensures the future-state platform meets state-specific Medicaid reporting requirements, starting with the MVP. Key Responsibilities • Define the semantic and logical data models for MVP and future-state reporting, covering pharmacy claims, member eligibility, prescriber, pharmacy network, formulary, rebates, and pricing domains. • Own mapping execution end to end. Define source-to-target mappings, transformation rules, and business logic from legacy structures to the new warehouse. • Inventory and analyze legacy IBM Cognos (Cognos Explorer / Cognos Analytics) reports, packages, and Framework Manager models. Reverse-engineer embedded business logic and calculations, and rationalize reports for redesign on the future-state platform. • Set mapping standards, templates, naming conventions, and documentation practices. Direct the Data and Systems Analysts and review their work for quality and consistency. • Lead gap analysis and drive each gap to a decision (build, defer, workaround, or descope) with business, compliance, and technical stakeholders. • Translate state Medicaid reporting requirements (encounter data submissions, MCO/PBM transparency reports, spread pricing and pass-through disclosures, T-MSIS-aligned extracts) into data model and mapping specifications. • Define data quality rules, reconciliation checkpoints, and lineage so legacy-to-target results, including Cognos report outputs, are traceable and audit-ready. Work with data engineers on ingestion and transformation design on GCP, and use Vertex AI and Gemini to speed up mapping, profiling, and documentation. RequirementsQualifications • 10+ years in data architecture or data modeling, with at least 3 years in PBM, pharmacy, or health plan data. • Hands-on experience with NCPDP claim standards, Medicaid and managed care reporting, and legacy migration programs. • Strong skills in dimensional and semantic modeling, plus advanced SQL. • Experience with IBM Cognos Analytics / Cognos Explorer, including Framework Manager packages, report specifications, and migrating Cognos reporting to a modern BI platform. • Hands-on experience with Google Cloud data services: – BigQuery for warehouse design, including partitioning, clustering, and authorized views – Dataflow and Dataproc for transformation pipelines – Cloud Composer (Airflow) for orchestration – Cloud Storage for landing zones – Dataform or dbt for SQL-based transformations • Familiarity with Dataplex and Data Catalog for metadata, lineage, and data quality, and with Looker (LookML) for building the semantic layer. • Proven experience leading analyst teams and running mapping governance. • Working knowledge of HIPAA, CMS regulations, and state-level Medicaid compliance, along with GCP security controls (IAM, VPC Service Controls, CMEK). • Location & Work Authorization: Must currently reside in the United States and hold valid US work authorization without sponsorship. Nice to Have • Exposure to Vertex AI or Gemini in BigQuery for AI-assisted mapping, profiling, and documentation. • Google Cloud Professional Data Engineer or Professional Cloud Architect certification.","company":"Kdata Ai","rawCompany":"kdata ai","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-14T08:12:27.604Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Architect – PBM Data Modernization","description":"This is a remote position.Data Architect – PBM Data Modernization Location: Remote (US Only) Industry: Pharmacy Benefit Management (PBM) Platform: Google Cloud Platform Role Overview We're looking for a Data Architect to lead data modeling and source-to-target mapping for a Pharmacy Benefit Manager (PBM) modernization program on Google Cloud. The role covers migrating legacy claims and eligibility data, and the IBM Cognos reporting built on it, into a new BigQuery-based enterprise data warehouse. It also ensures the future-state platform meets state-specific Medicaid reporting requirements, starting with the MVP. Key Responsibilities • Define the semantic and logical data models for MVP and future-state reporting, covering pharmacy claims, member eligibility, prescriber, pharmacy network, formulary, rebates, and pricing domains. • Own mapping execution end to end. Define source-to-target mappings, transformation rules, and business logic from legacy structures to the new warehouse. • Inventory and analyze legacy IBM Cognos (Cognos Explorer / Cognos Analytics) reports, packages, and Framework Manager models. Reverse-engineer embedded business logic and calculations, and rationalize reports for redesign on the future-state platform. • Set mapping standards, templates, naming conventions, and documentation practices. Direct the Data and Systems Analysts and review their work for quality and consistency. • Lead gap analysis and drive each gap to a decision (build, defer, workaround, or descope) with business, compliance, and technical stakeholders. • Translate state Medicaid reporting requirements (encounter data submissions, MCO/PBM transparency reports, spread pricing and pass-through disclosures, T-MSIS-aligned extracts) into data model and mapping specifications. • Define data quality rules, reconciliation checkpoints, and lineage so legacy-to-target results, including Cognos report outputs, are traceable and audit-ready. Work with data engineers on ingestion and transformation design on GCP, and use Vertex AI and Gemini to speed up mapping, profiling, and documentation. RequirementsQualifications • 10+ years in data architecture or data modeling, with at least 3 years in PBM, pharmacy, or health plan data. • Hands-on experience with NCPDP claim standards, Medicaid and managed care reporting, and legacy migration programs. • Strong skills in dimensional and semantic modeling, plus advanced SQL. • Experience with IBM Cognos Analytics / Cognos Explorer, including Framework Manager packages, report specifications, and migrating Cognos reporting to a modern BI platform. • Hands-on experience with Google Cloud data services: – BigQuery for warehouse design, including partitioning, clustering, and authorized views – Dataflow and Dataproc for transformation pipelines – Cloud Composer (Airflow) for orchestration – Cloud Storage for landing zones – Dataform or dbt for SQL-based transformations • Familiarity with Dataplex and Data Catalog for metadata, lineage, and data quality, and with Looker (LookML) for building the semantic layer. • Proven experience leading analyst teams and running mapping governance. • Working knowledge of HIPAA, CMS regulations, and state-level Medicaid compliance, along with GCP security controls (IAM, VPC Service Controls, CMEK). • Location & Work Authorization: Must currently reside in the United States and hold valid US work authorization without sponsorship. Nice to Have • Exposure to Vertex AI or Gemini in BigQuery for AI-assisted mapping, profiling, and documentation. • Google Cloud Professional Data Engineer or Professional Cloud Architect certification.","datePosted":"2026-11-14T08:12:27.604Z","dateModified":"2026-11-14T08:12:27.604Z","hiringOrganization":{"@type":"Organization","name":"Kdata Ai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f7bc4b3efe18f9d9c32d7def"},"url":"https://jobsearcher.com/jobs/f7bc4b3efe18f9d9c32d7def"}}