Description & RequirementsOur Team:
Bloomberg runs on data. Within Engineering, the Data Services team builds platforms that help the firm automatically understand, classify, and govern data at scale. A core focus of this role is designing and scaling systems that power data discovery, sensitive data detection, metadata enrichment, and governance automation across the enterprise. This role is ideal for a hands-on engineer who applies ML and AI to real-world data governance problems and cares about trust, security, and explainability.
You'll work in a cross-functional team to build data services that classify and inventory data, generate and enrich metadata, integrate with governance platforms (Collibra, Atlan, Alation, Purview), and enable self-service discovery for data consumers and stewards. Your work directly impacts data quality, compliance, and decision-making at Bloomberg.
We'll trust you to:
- Proactively drive the vision for Data Classification/Inventory/Catalog across multiple business areas, and define and execute on a plan to achieve that vision
- Leverage data governance tools, configure and make them self-service for users
- Design, build, and maintain ML-powered services and pipelines for automated data classification, tagging, and inventory
- Develop integrations with metadata catalogs, data quality tools, and internal platforms to enrich and expose governance metadata
- Apply ML and AI techniques to detect sensitive data (e.g., PII, PHI), map lineage, and support entity resolution
- Collaborate with data stewards, governance leads, and platform teams to translate business requirements into scalable, automated solutions
- Influence the architecture and evolution of AI-enabled governance tooling
- Provide technical leadership and mentorship to junior engineers
- Collaborate and build cross functional relationships with Product Owners, Data Engineers and Software Engineers to understand business and deliver on those needs.
- Embrace agile framework with iterative product development and continuous improvement mindset.
- Stay up to date with market trends, bring new ideas on-board and evaluate tooling for future needs.
You'll need to have:
- 5+ years of experience building and leveraging data governance tools and platforms.
- 5+ years of experience using Python, JavaScript/TypeScript, Java, or Scala
- Familiarity with AI driven data catalogs or metadata platforms (e.g., Collibra, Alation, Atlan, Purview)
- Hands-on experience applying ML or NLP techniques in production (e.g., classification, clustering, NER)
- Solid understanding of data governance concepts, including metadata, lineage, and data cataloging
- Experience with cloud data platforms (e.g., AWS, Google Cloud Platform, Azure) and distributed systems
We'd love to see:
- Knowledge of compliance standards (e.g., GDPR, HIPAA, SOX)
- Experience working in regulated industries
- Exposure to knowledge graphs, semantic modeling
Salary Range = 00 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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