Senior Director, Data Architecture

This is a fully remote position, open to applicants in Alabama, +27 more states.

📋 Description

• Establish and promote the adoption of enterprise data standards that encompass naming conventions, both business and technical metadata, data quality regulations, and reporting definitions throughout Snowflake.

• Choose, implement, or enhance a data catalog that includes ownership, definitions, sensitivity classifications, and usage guidance for essential data assets.

• Create a shared ontology in the healthcare context and an enterprise data dictionary that reconciles definitions across Customer Success, Finance, Data Science, Engineering, and Operations.

• Define and execute data lineage standards that trace metrics and fields from their source to consumption.

• Collaborate with embedded analytics teams to align reporting definitions and produce certified reports and semantic models.

• Act as the enterprise data architect for Snowflake in terms of data modeling, organization, governance, schema design, domain modeling, and platform architecture.

• Facilitate translation between business concepts and data models.

• Establish decision-making rights, change management processes, governance forums, and a data council.

• Report directly to the SVP of AI, Data & Data Science.

• Function as the highest technical authority on enterprise data standards, taxonomy, and governance.

• Deliver a widely adopted enterprise data dictionary and ontology.

• Build and maintain a live catalog that encompasses high-value Snowflake datasets.

• Document the lineage for key reporting metrics.

• Minimize duplicate or conflicting reports and metric definitions.

• Establish robust governance with active participation from stakeholders.

⛳️ Requirements

• Must reside in the United States within one of the designated eligible states.

• 10+ years of experience in data architecture, data management, or enterprise data roles.

• Direct, hands-on experience in building or scaling data catalogs, data dictionaries, taxonomies, or ontologies within a complex organization.

• Practical experience with Snowflake or a similar cloud data warehouse, including data modeling, schema design, and architecture trade-offs.

• Direct experience with data cataloging and metadata management tools such as Snowflake Horizon, Collibra, Alation, Atlan, DataHub, or Purview.

• Experience with integrating legacy data sources like RDBMS and familiarity with lineage tooling and practices.

• Proven ability to align functions with varying vocabularies and incentives.

• Excellent written and verbal communication skills, with the ability to facilitate consensus among stakeholders.

• Experience in the healthcare domain, preferably in healthcare revenue cycle, payer/provider, or patient financial services.

• Strong foundation in data modeling, including dimensional modeling, entity-relationship modeling, and semantic layers.

• Familiarity with components of the modern data stack, such as ELT/ETL, orchestration, and BI/semantic tools like dbt, Looker, Power BI, or Tableau.

• Senior individual contributor experience representing data architecture in leadership forums.

• Employment eligibility in the United States.

• Successful verification of employment history and background check.

• No current or future need for work sponsorship in the United States.

• Knowledge of data governance frameworks such as DAMA-DMBOK and formal data stewardship programs is a plus.

• Familiarity with healthcare data standards such as X12, HL7/FHIR, CPT/ICD coding, and HIPAA is advantageous.

• Experience with ontology or knowledge-graph approaches supporting AI and data science is a plus.

🏝️ Benefits

• Remote work from home.

• A quiet, distraction-free home workspace.

• Secure internet connection.

• Home internet speeds exceeding 20 Mbps download and 10 Mbps upload.

• Workspace accommodating workstation equipment and related materials.

• Equal employment opportunity workplace.