Senior Data Architect

Insight Global; Minneapolis (MN); On-site; USD 140,000 - 190,000; Full time

Job summary

Insight Global is seeking a Senior Data Architect to lead the strategy, design, and optimization of the enterprise data ecosystem. You will focus on improving data quality, governance, and cost efficiency while shaping scalable, AI-ready architectures for large-scale datasets.

The role requires guiding cross-functional teams, defining standards, and aligning technology investments with business and product objectives. A proven record in enterprise data modeling and governance is essential.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7+ years leading enterprise data architecture and governance initiatives.
• Experience designing/implementing data warehouses, data lakes, analytical platforms, data models, semantic layers, and governance programs.
• Proven expertise in conceptual, logical, and physical data modeling.
• Strong understanding of metadata management, data lineage, MDM, data quality, cataloging, stewardship, and lifecycle management.
• Experience defining enterprise-wide data standards, policies, governance operating models, and reusable architecture patterns.

Responsibilities

• Lead strategy, design, and optimization of the organization's enterprise data ecosystem.
• Improve data quality and governance; validate architecture decisions and reduce cloud/platform costs.
• Define scalable future-state architecture for AI and advanced analytics readiness.
• Partner with business leaders, product teams, Data Engineers, Java Engineers, and analytics stakeholders to establish enterprise data models and governance frameworks.

Skills

Enterprise Data Architecture

Data Governance

Data Modeling

Data Warehousing

Big Data Platforms

Education

Bachelor's degree in Computer Science/IT/Engineering

Job description

• Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field; equivalent practical experience may be considered.
• 7+ years of demonstrated experience leading enterprise data architecture and governance initiatives.
• Extensive experience designing and implementing enterprise data warehouses, data lakes, analytical platforms, enterprise data models, semantic layers, and data governance programs.
• Proven expertise in conceptual, logical, and physical data modeling.
• Strong understanding of metadata management, data lineage, master data management, data quality, cataloging, stewardship, and lifecycle management disciplines.
• Experience defining enterprise-wide data standards, policies, governance operating models, and reusable architecture patterns.

The Senior Data Architect will lead the strategy, design, and optimization of the organization's enterprise data ecosystem, with a primary focus on improving data quality, strengthening governance, validating architecture decisions, and reducing cloud and platform costs. This individual will assess the current data landscape, define a scalable future-state architecture, and ensure the organization is positioned to leverage AI and advanced analytics capabilities as the business continues to grow. The environment includes datasets ranging from 50-60 terabytes to more than 500 terabytes, requiring expertise in large-scale, high-volume data platforms.

On a day-to-day basis, the Senior Data Architect will partner with business leaders, product teams, Data Engineers, Java Engineers, and analytics stakeholders to establish enterprise data models, semantic layers, governance frameworks, and architectural standards that support reporting, analytics, and operational decision-making. The ideal candidate will have a proven track record of building scalable, AI-ready data ecosystems capable of supporting hundreds of terabytes of data while aligning technology investments with business and product objectives.