Enterprise Data Architect

BLACK HILLS FEDERAL CREDIT UNION•Rapid City, SD

2d•Hybrid

About The Position

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.

Requirements

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 MuleSoft, 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 data security best practices, including encryption, access control, and data loss prevention
Ability to forward think and identify opportunities to leverage new technologies to support the strategic initiatives of the Credit Union.
A strong ability to communicate and collaborate with all levels of staff, stakeholders, vendors, and project teams to always understand requirements and effect solutions in a calm and professional manner.
Maintain updated knowledge of Credit Union rules, products, services, regulations and procedures.
Ability to comprehend complex functions and procedures and disseminate that knowledge clearly to others.
Ability to communicate professionally, clearly, and concisely, both orally and in writing.
Ability to prepare and maintain confidential records and reports.
Ability to prioritize duties, handle multiple tasks, and produce a high volume of work in a timely manner that is accurate and of high quality.
Ability to rapidly adapt and respond to changes in environment and priorities.
Strong attention to detail and ability to manage multiple tasks simultaneously.
Ability to work independently with minimal supervision.
Ability to recognize potential problems and recommend solutions in a timely manner.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field and 5 or more years of experience in data architecture, enterprise data management, or large-scale data engineering, OR equivalent combination of education and work experience.
Qualified candidates will have at least 3+ years’ experience with cloud data platforms, ETL processing and API management (required).

Nice To Haves

It is preferred that the candidate has 3+ years’ experience with Data Cloud implementation and advanced MuleSoft integration patterns.
Finally, a strong familiarity with agile software development methodologies and DevOps practices is also preferred.
Salesforce Certified Data Architect and MuleSoft Certified Integration Architect.
Certification in data management or related field (e.g., Certified Data Management Professional)

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.
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.