Data Solutions Architect

4 weeks ago


Louisville, Kentucky, United States Farm Credit Mid-America Full time

Farm Credit Mid-America is a financial services cooperative serving the financial needs of farmers and rural residents in multiple states.

We are passionate about serving the needs of our rural communities and creating positive customer experiences.

This role will work closely with our application delivery teams to design transactional data models, process and tooling that optimize a balance of performance, scale, flexibility, speed of delivery and data quality as appropriate.

Key responsibilities include:

  • Designing detailed data models and architectures for our internally developed applications that align with our broader data strategy and governance policies.
  • Providing guidance and consultation with delivery teams on technical implementation details of data solutions ensuring seamless integration with existing systems and architecture.
  • Partnering with enterprise architecture, data quality and governance stakeholders, and security team members to contribute to and implement data governance standards and data protection policy.
  • Ensuring that each solution contributes to the overall objectives, facilitating a cohesive data strategy that supports business evolution and innovation.

Requirements include:

  • Bachelor's Degree (or equivalent relevant work experience) in computer science, data sciences or related field.
  • 4 years experience working on database development projects and/or designing data architecture.
  • Experience with SQL stored procedures and complex SQL to develop secure, performant, and flexible solutions.
  • Experience with software development lifecycle and software development common practices (code reviews, unit testing etc.).

Farm Credit Mid-America provides a competitive total rewards package to our team members, including an award winning 401(k) Plan and Health and Financial wellness benefits.

We are an equal opportunity employer and all applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other category protected by law.



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