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Director, Data Lake and Integration

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Credit Acceptance
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
  • Engineering
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally.

Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions.

We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!

Director of Data Lake and Integration – Responsibilities

The Director of Data Lake and Integration will provide technical and architectural leadership within the data engineering organization. In this role, you ll champion building out an enterprise data lake across the businesses, which is critical to the success of modernization and growth at Credit Acceptance. This includes all the first-party and third-party data, data modeling about business-critical data across the ecosystem, as well as data integration both within the company and with external partners.

As a director, you ll be responsible for leading the technical vision, strategy, architecture, and execution of the enterprise data lake, collaborating both within the data team and outside to ensure successful deliveries in production, representing the data team in collaborating with business to ensure data availability that supports business priorities and successful usage of the data. The ideal candidate brings 15+ years of engineering experience with significant depth in building enterprise big data solutions with demonstrated impact on business success.

You ll serve as both a hands-on technical leader and a strategic advisor, helping to establish robust, scalable enterprise data foundations that drive growth, enable innovation, and improve efficiency across the organization.

Outcomes and Activities
  • Develop and drive the long-term vision for enterprise data lake and integration, ensuring alignment with organizational goals and priorities
  • Formulate and implement data lake and integration strategy across the data space, including but not limited to first-party/third-party data, structured/unstructured data, data modeling across the data ecosystem, and integration both within and outside the company
  • Oversee the design and development of a scalable enterprise data lake that supports different use cases across the company and enables scalable and self-serve data success
  • Lead the development and continuous evolution of scalable, robust, and business-aligned enterprise data lake and integration, driving the adoption of modern architecture and design, including cloud-native services, distributed computing, and real-time data processing.
  • Effectively communicate data lake success, strategies, roadmap, and progress to executive leadership and stakeholders, ensuring alignment with the firm’s broader vision and goals.
  • Develop insightful business and domain knowledge, translate data into actionable insights that enable the business to drive growth, foster innovation, and improve efficiency
  • Build a strong engineering organization and foster a solid engineering discipline by leading with examples and mentoring team members
  • Collaborate with both the data team and cross engineering on technology and architecture strategy and decision
  • Exemplify technical innovation and contribute to critical system design, implementation, and operation success
  • Formulate a technology and architecture decision framework that embeds the engineering discipline
  • Become an expert in the business process domain to better support the business and align technologies with the business outcomes
  • Work with the engineering leadership team to…
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