Data Governance (Data Engineering - Data Governance)

Location(s) US-UT-Salt Lake City
Job ID
Schedule Type
Full Time
Data Engineer
Business Unit
Data Engineering
Employment Type



The firm is investing significantly to enhance data quality across the firm, to enable increased data commercialization, improve client experience, and ensure high quality of data sent to other external and internal parties. We have a multi-year book of work, sponsored by the Board. This function is a key component of these deliverables.

  • Help promote the data governance framework and drive adoption across all of the firm's divisions
  • Partner with Divisional Data Offices to help them implement the policies and procedures for Data Governance
  • Participate in working groups to improve data quality and ease of access to information
  • Provide guidance and training on how to plan implementation of requirements set forth by the policy
  • Work with the technical team responsible for developing the data governance platform and tool set
  • Be instrumental in monitoring the compliance and progress of each division, and working to make sure the data governance program goals are accomplished
  • Provide thought leadership to further develop processes, and firmwide roles and responsibilities, to help the firm meet the expectations of its data governance policy



The Engineering Division

Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key businesses and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.


Data Engineering – Data Governance

The Data Governance team is a central, firmwide team that is responsible for defining and driving data governance across the firm. 

We are a global team. We work with divisional stakeholders, to provide transparency into where data enters the firm, how it is transformed/reported/classified, and what data quality controls exist for critical datasets. Our internal clients use this meta-data to gain insights – aiming to cut duplication, improve quality and respond faster to new business opportunities, and to meet regulatory requirements. Our users need to search and visualize the firm’s data flows.



As a member of the team, you will gain satisfaction though adding value and contributing to the team’s initiatives. You will:

  • Work with data consumers and producers to negotiate ownership of data
  • Create lineage graphs to show how data moves from top of the flow (e.g. trading, sales and deal systems) to lower down the flow (e.g. client reporting, regulatory reporting, books and records)
  • Develop communication and reference materials that enable data consumers and producers to implement the data governance policy and standard
  • Define and create appropriate data validation controls 
  • Provide data quality analytics to partner with data consumers and producers to drive remediation effort
  • Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases
  • Communicate progress to senior stakeholders and within the team

You will have the potential to:

  • Grow your understanding of data and the underlying businesses that use it
  • Develop business, data analysis and relationship management skills
  • Contribute to progressing the data governance strategy at Goldman Sachs


Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. Ability to work in a collaborative manner with stakeholders and drive consensus is essential. Experience working with a business team to develop functional requirements and translating those into technical requirements is important. Having developed an effective training and testing strategy is helpful


  • Bachelor’s degree required
  • Strong written and verbal communication skills
  • Some knowledge of data warehousing, and the development of physical and logical models
  • Proficient with spreadsheet/presentation/dashboard tools and ability to learn quickly and adapt to new changes and new challenges
  • Effectively partner with divisions across the firm with a focus on end-client value
  • Proactive and works well in a collaborative environment
  • Good attention to detail and analytical thinking


  • Helpful to have sufficient SQL knowledge to be able to run queries and participate in data analysis
  • May have a software engineering background (not required)
  • Experience of data governance or data management
  • Experience working at a financial institution  


The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

© The Goldman Sachs Group, Inc., 2020. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.