Other locations may be consideredGreenStone Farm Credit Services is seeking a
Data Architect to lead the vision, design, and governance of our enterprise data architecture. This role is instrumental in shaping the long-term data strategy that supports scalable, secure, and compliant data platforms, analytics, and business intelligence capabilities across the organization.
Operating within a SAFe Agile Release Train (ART), the Data Architect provides architectural direction, establishes standards, and ensures alignment between business priorities, regulatory requirements, and technical execution. This position partners closely with Product Managers, Product Owners, Data Leaders, and ART leadership to guide solution design, manage dependencies, and maintain a sustainable architectural runway.
The ideal candidate is a strategic thinker with deep technical expertise, strong communication skills, and a passion for building data ecosystems that are interoperable, governed, and built for long-term success. This role also plays a critical part in safeguarding the confidentiality, integrity, and availability of enterprise-sensitive data
Key ResponsibilitiesStrategy, Vision & Roadmaps- Define and maintain the enterprise data architecture vision and multi-year roadmap
- Establish architectural direction for data platforms, integrations, analytics, and BI solutions
- Align data architecture strategy with business priorities, regulatory requirements, and enterprise technology direction
- Serve as a strategic partner to Product Owners and ART leadership to ensure architectural alignment with delivery plans
- Stay current with emerging data technologies, trends, and best practices
Planning & Execution Enablement- Translate architectural strategy into executable initiatives in partnership with Data Platform, Analytics, and Insights leaders
- Participate in PI planning, backlog refinement, and architectural runway development
- Review and guide solution designs to ensure adherence to architectural standards and principles
- Identify and manage architectural dependencies and cross-team impacts within the ART
Standards, Governance & Quality- Define and maintain data architecture standards, patterns, and reference architectures
- Ensure solutions meet confidentiality, integrity, and availability requirements for sensitive data
- Collaborate with governance, security, and compliance teams to ensure architectural alignment
- Promote consistency, reuse, and long-term sustainability of data solutions across the enterprise
Collaboration & Influence- Serve as a trusted advisor to business and technology stakeholders
- Communicate architectural decisions, tradeoffs, and impacts in a clear and accessible manner
- Mentor teams on architectural best practices without direct people-management responsibilities
- Drive continuous improvement through learning, feedback, and architectural evolution
Qualifications- Bachelor's degree required; Degree in computer science, math, economics, statistics, business, data engineering, information services or related field preferred
- 10+ years of experience in data engineering, data architecture, quantitative analytics, or a similar technical role is required
- 3+ years of experience using Databricks or similar platform is required
- 5+ years of experience in a regulated industry (e.g., banking, healthcare) is preferred
- Strong expertise in data modeling (conceptual, logical, physical, dimensional)
- Deep understanding of modern data architectures, including cloud platforms, lakehouse patterns, streaming, and integrations
- Familiarity with data governance, security, privacy, and regulatory frameworks
- Experience working in Agile or SAFe environments
