Senior Data Architect – Enterprise Data & Analytics

City of McKinney, TX; McKinney (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

The City of McKinney is seeking a senior Data Architect to design, develop, and manage the city’s data infrastructure, ensuring secure, scalable data storage, processing, and retrieval for analytics and compliance. Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.

You will lead enterprise data strategy initiatives, govern data assets, and mentor junior professionals, while shaping data architecture for advanced analytics and

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Software/Computer Engineering, or a related field. Five (5) years of experience in data architecture, data warehousing/modeling, cloud platform architecture, and enterprise database design.

Responsibilities

• Develops and maintains conceptual, logical, and physical data models to support business needs, ensuring scalability and performance.
• Creates and implements database solutions, data warehouses, and data lakes to store, retrieve, and manage City information.
• Ensures data quality and consistency for reliable decision-making.
• Establishes data lineage, cataloging, and data stewardship practices.
• Leads enterprise-wide data strategy initiatives, including governance, lifecycle management, and innovation alignment.

Skills

Relational and NoSQL databases

Data modeling tools

Cloud platforms (Azure/AWS/Google)

ETL/ELT tools and data integration

Scripting languages (SQL, Python, etc)

Kubernetes Docker Helm

Data governance and security awareness

Data lineage/observability

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Airflow

Terraform

Kubernetes

Docker

Job description

The City of McKinney is seeking a senior Data Architect to design, develop, and manage the city’s data infrastructure, ensuring secure, scalable data storage, processing, and retrieval for analytics and compliance. Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.

You will lead enterprise data strategy initiatives, govern data assets, and mentor junior professionals, while shaping data architecture for advanced analytics and