Our 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, GCP, 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