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Enterprise Data Architect

Job in Rapid City, Pennington County, South Dakota, 57700, USA
Listing for: Black Hills Federal Credit Union
Full Time position
Listed on 2026-06-10
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Security
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Who We Are We have the fundamental belief that we, as an organization, can and will improve lives. Rooted in the centuries-old credit union philosophy of people helping people, we maintain a simple premise. Those we interact with will receive equal and just treatment, devoid of intolerance, false judgment, racism, or discrimination of any kind. We must not accept less if we are to fulfill our mission, "We Improve Lives."

This mission empowers us to serve the greater good and to make a difference in our world. Our cooperative structure creates a cycle of mutual assistance towards the common goal of the financial well-being of members.

At Black Hills Federal Credit Union (BHFCU), we’re committed to improving the lives of our members every day, and we look for people who share that passion. Don’t have a ton of financial industry experience? No problem. Our onboarding includes an orientation program with ongoing training to help staff further their career at BHFCU by building on their existing strengths.

General

Purpose:

Responsible to design and implement scalable, secure, and optimized data architectures that enable seamless data flow across integrated enterprise-centric ecosystems. The Data Architect provides strategic data technical vision while leading immediate data architecture initiatives.

Essential Duties/Responsibilities:

Designing and developing data models that support business processes, analytics, and reporting requirements, ensuring they are optimized for performance and scalability.

Establishing and enforcing data governance policies to ensure data quality, consistency, and compliance with regulations.

Designing and implementing solutions to integrate data from various sources, ensuring seamless data flow across the organization.

Defining and implementing a robust and scalable data strategy, including data warehousing, data lakes, and other data platforms.

Collaborates with business stakeholders, data platform teams, vendors and other IT teams to understand data needs and ensure data solutions meet business objectives.

Implementing and maintaining data security measures, including access controls and encryption, to protect sensitive information.

Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.

Develop and maintain an inventory of enterprise information maps, including authoritative systems, owners, and stewards.

Work with data owners and stewards to develop and maintain a business glossary, metadata, and a library of data assets in the enterprise data governance software.

Design and implement processes for further expanding data governance processes and the data governance software environment.

Other Duties/Responsibilities:

Staying up-to-date on emerging technologies and evaluating their potential to enhance the organization's data capabilities.

Providing guidance and mentorship to other team members on data architecture best practices.

Develop and report on enterprise data governance KPIs and Metrics Assist with performing enterprise data governance maturity assessments

Facilitate the development of data quality standards and processes

Other duties as assigned by VP Digital Services or CIO.Job Knowledge:

Strong understanding of data architecture principles, including relational and dimensional modeling, data warehousing, and data governance

Knowledge of data governance and compliance frameworks (DAMA DMBOK preferred)
Strong

Experience with API-led connectivity and integration frameworks using Mule Soft, Workato, Astera or related data unification systems

Expertise in relational and dimensional modeling, data warehousing, and cloud-based data solutions

Proficiency with data modeling tools and techniques, such as Lucidchart, ERwin, ER/Studio or similar platforms

Excellent communication and collaboration skills, with the ability to effectively engage both technical and nontechnical stakeholders

Strong problem-solving and analytical skills, enabling identification and resolution of complex data related issues

Experience managing data related projects, including planning, execution, and delivery

Knowledge of…
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