Senior Data Engineer

The Senior Data Warehouse Data Engineer will develop,implementandmaintaindata platform solutions, ensuringoptimalperformance, reliability, and scalability for business and analytics teams. This role requires a strong background in data warehousing and data lakes, ETL processes, data pipelines, data governance, and collaboration, along with excellent problem-solving and analytical skills.

The Senior Data Warehouse Data Engineer is an exempt position and reports to the Manager, Data Warehouse and will be a part of the Enterprise Data Platform team at UFCU.

About UFCU

Our Credit Union was founded in 1936 and has grown to serve members throughout Texas and beyond. At UFCU, we are more than just a financial institution, and our people are more than just employees. We are dedicated toour purpose of empowering our

Membersto achieve financial success and build brighter futures .

In pursuit of our aspiration that UFCU is
loved by millions of Members and built to thrive for generations , we are guided by our values:

• Purposefully Member-Obsessed: We are driven by a profound sense of empathy to deeply understand our Members’needs and preferences, what brighter futuresmeansto them, and the obstacles in their way. We act in our Members’best interests, foreverseekingto empower their financial success.
• Possibilities Reimagined: We are inspired to courageously experiment, learn, and iterate in pursuit of positive impact for our Members, UFCU, and coworkers. We challenge assumptions, embrace diverse perspectives, and make use of data and insights.
• Performance Excellence Rooted in Unwavering Integrity: We do the right thing, always. We champion teamwork, accountability, continuous improvement, and celebrate successful outcomes of others, fostering an inclusive environment of excellence and collaboration.

Essential Functions

• Data Warehouse Design and Development:
  Design, develop, andmaintaindata warehouse solutions that meet business requirements and support data-driven decision-making.
• ETL Process Implementation:
  Develop and manage ETL (Extract, Transform, Load) pipelines and processes to ensureaccurateandtimelydata integration from various sources into the data warehouse.
• Data Modeling:
  Create andmaintainlogical and physical data models to support data warehouse solutions, ensuring data integrity, consistency, and accuracy.
• Performance Optimization:
  
  Monitorandoptimizedata warehouse performance, including query optimization, indexing, and partitioning strategies to ensure efficient data retrieval and processing.
• Data Quality Assurance:
  Implement and monitor data quality checks and validation processes to ensure adherence to definedSLA’s.
• Collaboration and Communication:
  Work closely with business stakeholders, data analysts, and other IT teams to understand data requirements, common pain points, evaluate their common needs, and finally turn them into internal warehouse tables or data services.
• Documentation and Reporting:
  Create andmaintaincomprehensive documentation of data warehouse architecture, processes, and procedures, and provide regular status reports to management.
• Collaborate with cross-functional teams to define and execute data strategies thatleveragevirtualization and fabric concepts to enhance data agility and support evolving business needs.
• Work directly with our Analytics and Data Science teams to define requirements and troubleshoot technical data issues in the Data Platform or Data Mappings/Pipelines.
• Design and implement data virtualization solutions to provide seamless data access and integration across diverse data sources. Ensure that data is easily accessible, governed, and secure, while enabling real-time data processing and analytics.
• Operational Support:
  
  Participate in on-call support rotation.

Other

• Adheresto all company policies, procedures,and business ethics codes.
• Completes required regulatory training as assigned.
• Maintainsstrictadherence toand compliancewithall laws, rules, regulations,and internal controls specific totherole, including but not limited to Bank Secrecy Act, Anti-Money Laundering, USA Patriot Act, OFAC and Fair Lending regulations.

Knowledge/Skills/Abilities

• Experience building data products…