Location - Remote, North America

About Our Team:

KAR Global Data-as-a-Service team (DAAS) is looking to expand our data team as we continue to grow our data platform in support of a mission of digital transformation in automotive wholesale markets.  The data engineering team is responsible for the ingestion and persistence of data supporting an array of data products supporting KAR Global’s automotive wholesale business.

As part of a small, passionate and accomplished team of experts, you will work the full spectrum of Master Data Management (MDM). This is a high impact, high visibility team and is responsible for ensuring all master data is accurate, complete and consistent across the entire enterprise. This team supports current new product development projects and performs ongoing guidance throughout the master data lifecycle.

About Our Candidate:

This candidate should be a self-starter who is interested in learning new systems/environments and passionate about developing quality supportable data service solutions for internal and external customers. We highly value natural curiosity about data and technology that drives results through quality, repeatable, and long-term sustainable database and code development. The candidate should be highly dynamic and excited by opportunities to learn many different products and data domains and how they drive business outcomes and value for our customers.

What You Will Be Doing:

Members of the data engineering team participate daily in ceremonies of Agile sprint to help design, plan, build, test, develop, and support KAR Global MDM data products and platforms consisting of Pythion ETL pipelines, Informatica applications and Postgres, Redshift, Dynamo DB, Oracle, and Snowflake databases. Our team works in a shared services delivery model supporting seven lines of business including front-end customer facing products, B2B portals, mobile applications, business analytics, and data science initiatives.

About our Candidate:

• The Ideal Candidate will be a self-starter who is interested in learning new systems/environments and passionate about developing quality supportable data service solutions for internal and external customers.

• Design Build and Deliver Enterprise Data / MDM solutions utilizing AWS Data Platform.

• Demonstrate abilities to quickly earn the trust of key internal and external stakeholders.

• Understand the architecture and explore possibilities for technological maturity.

• A problem solver who will help us identify problems, develop ideas, and propose solutions.

• Lead and inspire teams

Responsibilities include:

• Ensure master data integrity, quality, compliance, and consistency across the systems and shared folders (public shared drives and/or SharePoint)

• Guide client business and technology teams to envision, design and develop strategies for Master Data Management implementation, governance, roll outs etc.

• Actively managing master data governance activities such as daily maintenance requests and data clean-up efforts

• Coordinate master data setup, validations and maintenance in accordance with business practices

• Ensure metadata is consistently defined across all work streams with no redundancy, and clarity for use

• Develop strategies and initiatives to improve overall data quality, improve processing times and anticipate future needs

• Work with product, data science, analytics, and engineering teams to learn project data needs and define project scope.

• Drive data life cycle management and monitor related master data usage and activities

• Collaborates with source systems data stewards, Data owners and technical personnel for data governance and resolves any data quality or technical issues related to data ingestion.

What You Need to Be Successful:

• Bachelor’s degree in Business, Computer Science, Management Information Systems.

• Data Engineering or a related experience is a must.

• Can distinguish between  Master Data Management, Data Quality, Data Governance and Data Integration and the needs for each in a mature data environment.

• Experience with Informatica MDM Hub configurations - Data modeling & Data Mappings (Landing, staging and Base Objects), Data validation, Match and Merge rules, Active VOS, SIF Framework, and MDM User Exits is a Plus

• Proven success with Java development

• keeping up to date with the latest tools and technologies.

• Must have the ability to build or interpret detailed project specifications to develop program logic and code.

• Working knowledge of Informatica in an AWS Cloud environment is a plus

• Experience using Github / Jenkins (CI/CD) or comparable delivery stacks (required).

• Experience planning and designing maintainable data schemas (required).

• Experience with AWS Redshift, MPP, or Dynamo DB (preferred).

• Experience with Kinesis/Kafka (preferred).

• Experience working with large enterprise data lakes (preferred).

Who We Are:

KAR Global powers the world’s most trusted automotive marketplaces through innovation, technology and people. Our end-to-end platform serves the remarketing needs of the world’s largest OEMs, dealers, fleet operators, rental companies and financial institutions.

• We’re a technology company delivering next generation tools to accelerate and simplify remarketing.

• We’re an analytics company leveraging data to inform and empower our customers with clear, actionable insights.

• And we’re an auction company powering the world’s most advanced and integrated mobile, digital and physical auction marketplaces.

We want you to be well and thrive. Our benefits package includes:

• Competitive compensation

• Insurance coverage that includes medical, dental, vision and life insurance

• Flexible spending account

• Wellness program

• 401(k) with employer match

• Employee stock purchase program

• Paid holidays and generous paid time off

• Paid parental leave

• Learning and development resources