Data Architect – Enterprise Data Governance & Cloud Architecture

MM International, LLC; Denver (CO); On-site; USD 120,000 - 150,000; Full time

Job summary

A prominent data solutions firm in Denver, Colorado is seeking an experienced Data Architect to define and govern enterprise data architecture across business units. This role requires at least 5 years of experience in data architecture and governance, overseeing data integration, compliance, and ensuring quality. Candidates should possess strong expertise in cloud environments and data modeling, along with familiarity in business intelligence tools. Competitive compensation and a collaborative work environment are offered.

Qualifications

• 5+ years in data architecture, governance, or enterprise data management.
• Experience leading large-scale data initiatives such as data warehouses and analytics platforms.
• Strong expertise in data modeling and database architecture.

Responsibilities

• Define and maintain enterprise data architecture principles and standards.
• Establish metadata management and data classification processes.
• Provide architectural oversight across cloud and on-prem environments.

Skills

Data architecture

Data governance

Data modeling

SQL/NoSQL

ETL/ELT

Cloud environments (Azure, AWS, GCP)

Business Intelligence (Power BI, Tableau, Snowflake)

Job description

We are seeking an experienced Data Architect to define, govern, and evolve enterprise data architecture across business units. This role is responsible for establishing scalable data standards, governance frameworks, and integration patterns that support analytics, reporting, operational systems, and compliance initiatives.

Key Responsibilities:

• Define and maintain enterprise data architecture principles, standards, and governance frameworks
• Establish metadata management, data classification, lineage, and lifecycle processes
• Define data ownership and stewardship models to improve quality and accountability
• Provide architectural oversight across cloud and on-prem environments
• Design logical and physical data models across structured and unstructured domains
• Oversee enterprise data integration, ETL/ELT, and API-based access patterns
• Ensure compliance with regulatory, privacy, and security frameworks (GDPR, CCPA, HIPAA)
• Partner with business and technology leadership to align data strategy with enterprise priorities

Required Experience:

• 5+ years in data architecture, governance, or enterprise data management
• Experience leading large-scale data initiatives (data warehouses, analytics platforms, enterprise reporting)
• Strong expertise in data modeling and database architecture
• Experience with cloud and hybrid data environments (Azure, AWS, GCP)
• Experience with SQL/NoSQL, ETL/ELT pipelines, and data integration
• Familiarity with BI platforms such as Power BI, Tableau, or Snowflake
• Experience implementing data governance and stewardship models