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Enterprise Architect - Data

Switchboard Hiring

Englewood, Colorado, United States Hybrid permanent

Posted: March 11, 2026

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Quick Summary

We are seeking an Enterprise Architect to define and guide the evolution of OTS's data strategy and architecture to enable and support the needs of the credit union partners across the consortium.

Job Description

Sponsorship not available. Position only available to those with legal authorization to work in the United States.

Switchboard is seeking an Enterprise Architect on behalf of our client, Open Technology Solutions (OTS). As the Enterprise Architect (Data), you will help define and guide the evolution of OTS’ data strategy and architecture to enable and support the needs of our credit union partners across the consortium. This individual will shape the foundational data services, patterns, and platforms that enable scale, security, and efficiency across the enterprise.

This role requires extensive work with stakeholders across the consortium to influence business and technical direction at the enterprise level, including a strong emphasis on data strategy, stakeholder alignment, policy management, architectural governance, and platform engineering. The role requires deep functional and technical expertise in data architecture with an emphasis on data integration, data modeling, and analytics platforms, paired with the ability to work across domains, especially application and security.

About Open Technology Solutions

Open Technology Solutions (OTS) is a technology consortium empowering credit unions and community financial institutions to compete and thrive. OTS provides shared technology infrastructure and innovative solutions that help member institutions deliver exceptional service to their communities, combining the stability of serving the financial sector with the pace of a modern technology organization. With a people‑first culture built on collaboration and technical excellence, OTS uses a centralized architecture function embedded with delivery teams across applications, data, infrastructure, security, and systems engineering.

Key Responsibilities

• Define and evolve strategies for enterprise-wide data architecture programs to enable scalable, secure, and maintainable data platforms across the consortium.
• Partner with engineering, security, infrastructure, application, and product teams to design and implement reusable data capabilities, integration services, and APIs.
• Drive architectural consistency and modernization across functional areas by promoting platform-centric efficiencies such as automation, observability, data governance, and integration.
• Lead architectural decision-making for data transformation efforts and major initiatives, balancing near-term project needs with long-term enterprise data architecture direction.
• Evaluate legacy data systems, pipelines, and infrastructure and recommend modernization strategies that align with business goals and engineering best practices.
• Serve as the lead technology authority for all data platforms and tools within the domain of responsibility.
• Collaboratively establish domain-specific architecture principles, policies, rules, and measurements that support developer enablement, operational excellence, platform lifecycle management, and governance methods.
• Lead and participate in governance processes such as architecture design reviews, solution design reviews, and architecture council forums.


Requirements:
• Bachelor’s degree in Computer Science, Engineering, or related field; or four to six years of related work experience and/or training.
• 10+ years of experience in data architecture, platform engineering, data integration, and development and production infrastructure.
• Demonstrated ability to develop and align technology decisions with stakeholder objectives, resulting in outcomes that reflect both business priorities and customer expectations.
• Strong background in data architecture, technology design, governance, platform engineering, and tradeoffs between legacy systems and modernization approaches.
• Extensive background in data modeling, master data management, data warehousing, and analytics platform architecture.
• Familiarity with cloud data platforms (e.g., AWS, Azure, GCP, Snowflake, dbt) and modern data engineering practices including ETL/ELT, event streaming, DataOps, MLOps.
• Experience across designing data elements, entity definitions, structure and organizational rules, logical representation, and access channels.
• Driven to advance modern software development and operations through automation, self-service, CI/CD, and infrastructure as code.
• Skilled at both executive-level presentations and deep technical analysis.
• Background in the financial services industry or other complex, highly regulated environments is preferred.


Benefits:
Location: Hybrid (3 days per week in our Englewood, CO office)

Compensation: $150 - $180K salary + bonus

Benefits:

• Comprehensive medical, dental, and vision insurance (starting first full month)
• 401(k) with company matchingd
• Open PTO
• Student loan paydown program (up to $10,000 lifetime benefit)
• Tuition reimbursement (up to $5,250 annually)
• Service anniversary bonuses
• Company-paid life insurance, short-term and long-term disability
• Wellness reimbursement and additional unique perks

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