Data Architect

Joint Commission•Oakbrook Terrace, IL

2d•$135,000 - $180,000

About The Position

The Data Architect leads the strategic design, implementation, and governance of enterprise data systems. The role integrates data architecture, master data management (MDM), metadata management, and analytics to create scalable, secure, and high-quality data environments. The Data Architect collaborates across business and technology teams to align data strategies with organizational goals, drive operational excellence, and foster a data-driven culture. The position includes leading enterprise data strategy and governance; designing and managing data architectures, an Enterprise Data Warehouse, and data pipelines; advancing master data management and stewardship; enabling business intelligence and self-service analytics; and ensuring data security, quality, and regulatory compliance. It also requires leadership, mentoring, communication, and cross-functional collaboration. The stated salary range is $135,000 to $180,000. Joint Commission describes a comprehensive benefits package for permanent employees and directs candidates to its Career Page for an overview.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, Business, or a related field.
7–10 years of experience in data architecture, governance, and MDM.
Proven track record delivering enterprise data strategies and governance programs.
Knowledge of dimensional modeling, metadata management, and data warehousing principles.
ETL development experience using Azure Data Factory, Synapse, and SSIS.
Advanced Power BI skills, including DAX and dashboard/report development.
Familiarity with data lake, Lakehouse, and metadata-driven design.
Experience with platforms such as SAP, Oracle, Google Cloud, and NetSuite.
Moderate to advanced SQL/NoSQL proficiency.
Deep understanding of MDM, metadata, reference data, and data quality initiatives.
Experience with tools such as Collibra and governance frameworks.
Ability to establish and drive data stewardship operating models.
Strong leadership and mentoring capabilities.
Excellent communication and cross-functional collaboration skills.
Ability to influence and build consensus across executive and operational levels.
Strategic thinking and an innovation mindset.

Nice To Haves

Certified in Governance, Risk and Compliance (ISC²).
Certified in the Governance of Enterprise IT (CGEIT).

Responsibilities

Define and lead the enterprise-wide strategy for Master Data Management and Data Architecture.
Develop and operate governance models that balance structure, agility, and business needs.
Align data architecture with enterprise goals, including operational efficiency, regulatory compliance, and customer-facing analytics.
Establish and enforce data governance frameworks, metadata management practices, and architectural standards.
Drive accountability through data governance and measurement frameworks.
Design and implement scalable, secure, high-performance data architectures supporting analytics and reporting.
Architect and manage the Enterprise Data Warehouse, including data lineage, dimensional modeling, and metadata management.
Develop and maintain data pipelines using Azure Data Factory, Synapse, SSIS, and other modern tools.
Integrate external and internal data sources to support advanced analytics and decision-making.
Lead standardization of data structures, attributes, and taxonomies across member and provider domains.
Collaborate with IT to integrate data management technologies and APIs to establish a single source of truth.
Educate business units on MDM best practices and data stewardship principles.
Lead the design and development of Power BI dashboards and reports.
Enable self-service analytics through reusable data models and reduced IT dependency.
Translate business requirements into technical specifications and data models.
Design and implement secure data access infrastructure aligned with privacy regulations such as GDPR and HIPAA.
Monitor and enforce data quality rules and compliance metrics.
Provide data governance scorecards and exception reports to stakeholders.
Mentor and lead others, communicate effectively, collaborate across functions, and build consensus across executive and operational levels.