Senior Data Warehouse Architect

Shirley Ryan AbilityLab

Senior Enterprise Data Warehouse Architect responsible for architecture and management of data warehouse integrating medical data. Collaborate with teams to optimize data processes for analytics.

Posted 7/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $110,800 - $184,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Enterprise Data Warehouse architecture, data modeling, and compliance with regulatory requirements. Proficient in optimizing data storage and performance while collaborating with cross-functional teams to translate business needs into effective data solutions.

Highest-signal resume keywords

Enterprise Data Warehouse ArchitectureData Modeling ActivitiesSnowflake DatabaseETL FrameworksMicrosoft Power BI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureDatabase DesignSQLNoSQLOLAPDimensional ModelingData MiningAI and MLLData GovernanceData Lineage Tracking

Soft Skills

Organizational AbilitiesProblem-Solving Abilities

Tools & Technologies

Oracle Autonomous DatabaseTableau CloudDatabricksAzure FabricCloud Data Warehouses

Industry Keywords

GDPRHIPAAEHR SystemsBI PlatformsData LakeData MartODS

Tech Stack

Tools & technologies

AzureCloudETLNoSQLOracleSQLTableau

About the role

Key responsibilities & impact

Responsible for the data architecture and database design of the Enterprise Data Warehouse, collaborating with other Data platform architects on the overall architecture of the data warehouse ecosystem.
Create logical and physical data models to support analytical needs of the organization, guide and oversee data modeling activities executed at a project or program level
Define data standards, naming conventions, and data architecture best practices.
Ensure data architecture supports all Data Sets (types), and maintains integrity across systems.
Optimize data storage, indexing, and query performance for analytical workloads.
Collaborate with Data Governance team to Implement data policies, including metadata management and data lineage tracking.
Ensure compliance with security, privacy, and regulatory requirements (e.g., GDPR, HIPAA depending on industry).
Work closely with business analysts, data engineers, data scientists, and leadership to translate business needs into technical solutions.
Communicate architectural decisions and provide guidance to development teams.
Collaborate in the evaluation, testing, and recommendation of new tools, platforms, and technologies (cloud data warehouses, BI tools, ETL & MLL frameworks, etc.)
Stay current with trends in data architecture, cloud platforms, and big data technologies.
Monitor data warehouse performance and resolve bottlenecks and/or data quality issues.
Ensure Data design reflects high availability, reliability, and scalability of the data warehouse environment.

Requirements

What you’ll need

Bachelors or Masters degree in Computer Science, Information Technology, or relevant field.
8+ years of proven experience as an Enterprise Data Warehouse Architect role, preferably in an environment integrating data from medical EHR systems into Data warehouse / BI platforms
8+ years of experience (as DBA or Data Warehouse Architect) with Snowflake and/or Oracle Autonomous Database (ADB)
8 years of experience creating / leading data modeling activities for Data Warehouse or analytical solutions
In-depth understanding of database management systems (SQL & NOSQL), online analytical processing (OLAP), and ETL (Extract, transform, load) frameworks.
Experience in data warehouse design (e.g. dimensional modeling), supporting multiple analytics outcomes (include Data Mining, AI and MLL)
Experience with modern BI / Information delivery technologies (e.g. Microsoft Power BI, Oracle OAS, Tableau Cloud).
Experience with modern Analytical Data management platforms (Snowflake, Databricks, Azure Fabric, etc..)
Familiar with common Data Warehouse architecture design strategies and appropriate application; including medallion, data Lake, data mart, ODS, etc
Experience integrating data from medical EHR systems, and Workday financial SAAS platform into Data warehouse / BI platforms
Working knowledge of SQL and NLQ data access techniques and methodologies.
Excellent organizational and problem-solving abilities.
Experience leading analytical development programs.

Benefits

Comp & perks

Comprehensive benefits program that is competitive with our industry peers in our geographic locations.