Data Governance Senior Associate

We are looking for a skilled and experienced Data Engineer to join the technology team, focusing on data governance and data quality initiatives. The firm sees data as a valuable strategic asset and data management capabilities as key differentiator for sustained business success. The successful candidate will partner with the Data Management function and be responsible for implementing tools, frameworks & data quality checks to improve the reliability, discoverability, efficiency, and quality of data across the organization.

This role is for someone who is passionate about data and understands the discipline and commitment required to improve and sustain data quality across a complex business domain. It is a great opportunity to work with the latest cloud technologies and data management frameworks.

Your mandate will entail the creation, implementation, and vigilant oversight of data governance frameworks – that include data catalogs, data lineage, and data quality as the core pillars. You will be responsible for onboarding of data products and firm’s data assets to the data governance platform, and then maintaining and keeping them up to speed. You will work with the data team and application engineers to identify and implement source system checks & process improvements where needed.

RESPONSIBILITIES INCLUDE

1. Development, implementation, and maintenance of enterprise-wide data governance technologies, with a focus on improving data quality, data lineage and data discoverability.
2. Implement data-related standards, policies, procedures, and architectures in alignment with Central Data Governance team’s strategic objectives.
3. Implement technology tools and frameworks for tracking data quality, using key data quality metrics defined by Central Data Governance team in conjunction with data domain owners.
4. Design and implement data quality (DQ) rules to be integrated into DQ framework.
5. Creation of checks in source systems and data pipelines to ensure data quality and clean data flow.
6. Implement technology solutions to define and track key performance indicators for data quality, data governance processes, and tools to report on them in an automated manner.
7. Provide necessary tooling and systems support to the data team as they perform data governance activities
8. Work with various data team and various application teams as needed to evaluate, redesign, and reimplement data and process flows as needed.