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Mgr, Data Platform Engineering

Job in Austin, Travis County, Texas, 78716, USA
Listing for: UFCU Financial Services, LLC
Full Time, Part Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

University Federal Credit Union (UFCU) is seeking a Manager, Data Platform Engineering to lead a technical team to deliver UFCU’s enterprise data platform. This includesa portfolio of data products, pipelines, and curated datasets that power analytics, reporting, AI initiatives, and data-driven decision-making across the organization.

Reporting to theDirectorof

Platform Engineering, this is a technical leadership role that blends people management with technical and operational accountability. You will be responsible for platform governance,product delivery execution,andplatformoperations.

Theteam operates using agile methodologies, partnering closely with the Data& Analytics,and other business stakeholders to deliver best in classdata products. Core responsibilities include:

  • Data Ingestion & Integration: ingesting data from key banking and operational source systems into the enterprise data platform on a reliable, repeatable cadence.
  • Data Engineering & Quality: cleaning, transforming, and curating data using Databricks and the Medallion architecture; building data products that business teams can trust and self-serve.
  • Platform Operations: monitoring pipelines for failures, ensuring data freshness and quality, and maintaining the stability and performance of the data platform.
  • Database Administration: overseeing a DBA function responsible for SQL Server health, performance, and reliability across a mix of on-prem and managed Azure SQL Server instances.

This role supports a hybrid work model with 2 days per week on-site at the UFCU Plaza building and manages a core teamin addition to contractors dependent on the projects.

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 to our purpose of empowering our Members to 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 futures means to them, and the obstacles in their way. We act in our Members’ best interests, forever seeking to 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

Technical Functions

  • Lead a data platform engineering team,delivering reliable, secure, reusable data products, pipelines, and curated datasets that enablekeyanalytics and business outcomes.
  • Provide hands-on technical leadership including:
  • Data architecture understanding, technical design guidance, and engineering sign-off for ingestion pipelines, transformations, and data products
  • Establishing and maintaining reference architectures, data modeling standards, and engineering best practices
  • Own the data platform roadmap and governance, including:
  • Data product design standards, documentation, versioning, andSDLC
  • Data quality, lineage, cataloging, and access governance via Databricks Unity Catalog
  • Consistent patterns for ingestion, transformation, error handling, and pipeline resiliency
  • Guidedata engineering delivery and operations on Databricks,…
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