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Senior Director, Data Architecture

revecore

New
Senior 🇬🇧 English
Snowflake Collibra Alation Atlan DataHub Purview Snowflake Horizon data modeling schema design ELT ETL dbt Looker Power BI Tableau DAMA-DMBOK X12 HL7/FHIR CPT ICD HIPAA

Job description

About the role

Revecore is seeking a senior‑level individual contributor to lead enterprise data standards, cataloging, and ontology across its Snowflake data warehouse. The role focuses on establishing a single source of truth for finance, customer success, data science, engineering, and operations teams.

Key responsibilities

  • Design and drive adoption of enterprise data standards, including naming conventions, metadata, quality rules, and reporting definitions.
  • Select, implement, or extend a data catalog that provides discoverability, ownership, sensitivity classification, and usage guidance for core data assets.
  • Develop a shared healthcare‑focused ontology and data dictionary that aligns definitions across business units.
  • Define and enforce data lineage standards, enabling traceability from source systems to consumption.
  • Serve as the hands‑on enterprise data architect for Snowflake schema design, domain modeling, and platform architecture decisions.
  • Facilitate cross‑functional governance through data councils, decision‑rights frameworks, and change‑management processes.

Required profile

  • 10+ years of hands‑on experience in data architecture, data management, or enterprise data roles.
  • Proven ability to influence and align diverse business functions without direct authority.
  • Deep knowledge of the healthcare revenue cycle, payer/provider, or patient financial services.
  • Experience operating at a senior individual‑contributor level while representing data architecture in leadership forums.

Required skills

  • Snowflake (or comparable cloud data warehouse) – data modeling, schema design, architecture trade‑offs.
  • Data catalog/metadata tools such as Collibra, Alation, Atlan, DataHub, Purview, or Snowflake Horizon.
  • Modern data‑stack components: ELT/ETL, dbt, Looker, Power BI, Tableau.
  • Data governance frameworks (e.g., DAMA‑DMBOK) and healthcare standards like X12, HL7/FHIR, CPT/ICD.
  • Strong communication skills for consensus building across Finance, Data Science, Operations, Customer Success, and Engineering.

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Source : ats:ashby

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Published 7 hours ago

Expires 1 month from now

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