Join Numerica Credit Union as a Data Architect and Data Engineer, a hands-on technical role where you'll design, build, and maintain scalable data structures and pipelines. You'll play a key part in supporting certified reporting and analytics, with a near-term priority of implementing a dimensional data model for enterprise-wide reuse.
What You'll Do
- Design and maintain enterprise data models, including conceptual, logical, and physical models, with emphasis on dimensional modeling (star schemas).
- Define and maintain fact tables and conformed dimensions, including appropriate grain, keys, and modeling standards.
- Establish standardized, reusable data structures to ensure consistency across certified data assets.
- Design, develop, and maintain ETL/ELT pipelines that integrate data from core systems and enterprise data sources into analytical and reporting platforms.
- Monitor, optimize, and troubleshoot data pipelines and databases to ensure reliability, performance, and data accuracy.
- Support production issue resolution related to data availability, quality, and performance.
- Implement approved data quality, validation, and reconciliation controls to ensure accuracy and consistency of certified data assets.
- Partner with the Data Governance team to implement approved data standards, definitions, and certification requirements within data models and pipelines.
- Collaborate with BI, Advanced Analytics, and business teams to translate data and reporting requirements into scalable technical solutions.
- Use Git and GitHub for version control, code review, and collaboration.
- Maintain clear technical documentation for data models, pipelines, and architectural decisions.
- Maintains knowledge and adheres to all BSA regulations and compliance standards on internal and external policies.
What We're Looking For
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or a related field.
- Five or more years of experience in data architecture and data engineering roles.
- Experience supporting enterprise data platforms in a regulated or data-sensitive environment.
- Strong proficiency in SQL and relational databases (e.g., Oracle, SQL Server).
- Hands-on experience designing data models for analytical and reporting use cases, including dimensional modeling concepts (facts, dimensions, star schemas).
- Hands-on experience building and maintaining ETL/ELT pipelines and with data warehousing and analytical data architectures.
- Experience with cloud-based data platforms (e.g., AWS, Azure).
- Strong experience with version control systems, particularly Git and GitHub, including familiarity with code review processes and collaborative development workflows.
- Ability to communicate complex technical concepts clearly and effectively in both written and verbal form to a variety of audiences.
- Ability to establish trust and credibility with both technical and business partners.
- Ability to lift up to 25 lbs.
Nice to Have
- Experience in a credit union or community bank strongly preferred.
- Master’s degree in a related field.
- Familiarity with modern cloud data warehouses such as Snowflake or similar platforms.
- Experience supporting analytics or data science teams.
- Experience with financial industry data and regulatory considerations.
- Experience with data modeling tools (e.g., ERwin, ER/Studio).
- Knowledge of machine learning concepts and their data requirements.
- Experienced with financial institution accounting and finance terminology and standards as well as business processes.
Technical Stack
- SQL, Relational Databases (Oracle, SQL Server)
- ETL/ELT, Data Warehousing
- Cloud Platforms (AWS, Azure)
- Git, GitHub
- Data Modeling Tools (e.g., ERwin, ER/Studio)
- Snowflake (or similar)
Team & Environment
This role has no formal, direct supervisory responsibilities and sits within the Organizational Data Management (ODM) department, reporting to the VP ODM.
Benefits & Compensation
- Salary range: $100,012 to $150,028 annually.
Numerica Credit Union provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.





