Senior Software Engineer - Data Governance & Management Platforms

Bloomberg; New York (NY); On-site; USD 160,000 - 240,000; Full time

Benefits offered by this job

Merit increases

Incentive pay

Paid holidays

Paid time off

Medical

Dental

Vision

Disability insurance

401(k) match

Life insurance

Wellness programs

Job summary

Bloomberg is seeking a Staff Software Engineer to drive architecture for the Data Services platform focused on data governance, lineage, quality, and observability. You will lead technical direction across multiple data platform capabilities and mentor engineering teams in a high-scale environment.

You will craft scalable solutions, prototype critical modules, and collaborate with data stewards, product managers, and engineers to deliver a cohesive data platform for governance at Bloomberg's New

Qualifications

• Deep proficiency in software architecture and problem-solving with hands-on coding in Python, C++, Java, Scala, or Go.
• 7+ years of industry software engineering experience in data management, governance, or enterprise data architecture.
• Knowledge of data governance concepts including cataloging, metadata management, lineage, data quality, observability, stewardship, and semantic layers.
• Experience architecting distributed systems, data pipelines, and API-driven data platforms.

Responsibilities

• Define future-state architecture patterns and standards for metadata capture, lineage, data quality, observability, data contracts, and semantic modeling.
• Transform data governance concepts into production-ready software patterns, reusable APIs, metadata flows, and platform workflows.
• Actively write clean, optimized code, construct prototypes, bootstrap modules, and validate implementations to de-risk complex platform updates.
• Partner across Data Governance, Data Integrity, Common Data Products, and Usage Data Products to connect services into a cohesive platform.
• Collaborate with engineering leads, product managers, data stewards, and data engineers to reduce duplication and elevate engineering quality.
• Stay current with modern enterprise data management tooling and evaluate build vs. buy choices.

Skills

Python

C++

Java

Scala

Go

Tools

DataHub

OpenMetadata

Collibra

Alation

Atlan

Purview

Job description

Senior Software Engineer - Data Governance & Management Platforms

Location

New York

Business Area

Engineering and CTO

Ref #

10052256

About the Team

Bloomberg runs on data. Within the Data Management & Analytics Engineering department, the Data Services team builds platforms, services, and data products that help the firm understand, govern, protect, improve, and use data at scale. Data Services spans Data Governance Services, Data Integrity Services, Common Data Products, and Usage Data Products. The team's capabilities include data discovery, cataloging, classification, lineage, data quality, observability, reference and enrichment services, master data, common data, and usage data with cross-cutting responsibilities across stewardship, metadata, semantics, privacy, controls, and architecture standards.

Role Overview

We are seeking a high-caliber Staff Software Engineer to serve as a technical lead and architect for our future-state Data Services platform. This role requires an engineer who possesses strong core computer science fundamentals—excelling in algorithmic problem-solving, hands-on coding, and system design—while bringing deep domain experience in data governance and data management.

In this role, you will bridge domain-specific data management requirements (cataloging, lineage, quality, observability, control frameworks) and high-performance software engineering patterns. You will operate with Tech Lead / Staff-level scope: driving architecture, setting standards, building prototypes, and guiding engineering teams across the department.

Key Responsibilities

Drive Technical Leadership & Architecture: Define future-state architecture patterns and engineering standards for metadata capture, lineage, data quality, observability, data contracts, and semantic modeling.

Translate Data Concepts to Scalable Code: Transform data governance and data management capabilities into production-ready software patterns, reusable APIs, metadata flows, and platform workflows.

Hands-On Development & Prototyping: Actively write clean, optimized code, construct prototypes, bootstrap critical modules, and validate technical implementations to de-risk complex platform updates.

Unify Data Services Capabilities: Partner across Data Governance Services, Data Integrity Services, Common Data Products, and Usage Data Products to connect disparate services into a seamless, cohesive platform.

Provide Cross-Team Technical Enablement: Collaborate closely with engineering leads, product managers, data stewards, and data engineers to reduce duplication, enforce standards, and elevate engineering quality.

Evaluate & Innovate: Stay current with modern enterprise data management tooling and industry trends; evaluate build vs. buy choices and import proven patterns from mature data organizations.

Minimum Qualifications

Strong Software Engineering Fundamentals: Deep proficiency in software architecture, and problem-solving, with proven hands-on coding capabilities in languages such as Python, C++, Java, Scala, or Go.

7+ Years of Industry Experience: Track record in software engineering, data management, data governance, metadata platforms, or enterprise data architecture.

Data Governance & Management Mastery: Comprehensive understanding of core data governance concepts including data cataloging, metadata management, lineage tracking, data quality frameworks, observability, stewardship, and semantic layers.

Platform & System Design Expertise: Demonstrated success architecting distributed systems, data pipelines, metadata integration workflows, and API-driven data platforms.

Hands-On Experience with Data Tools: Exposure to or experience implementing mature enterprise data platforms (e.g., DataHub, OpenMetadata, Collibra, Alation, Atlan, Purview) or custom internal equivalents.

Technical Influence & Communication: Proven ability to lead architectural discussions, communicate complex technical topics to diverse stakeholders, and mentor engineering teams.

Preferred Qualifications

Semantic Technologies & Knowledge Graphs: Experience with semantic technologies, knowledge graphs, ontologies, and master/reference data management.

AI/ML Integration: Familiarity with AI/ML-driven data governance automation (e.g., automated data classification, anomaly detection, metadata enrichment, automated lineage inference).

Leadership Track Record: Background serving as a Manager, TechLead, Platform Architect, or Principal SME in an enterprise-scale data ecosystem.

Salary Range = 160,000-240,000 USD Annual+ 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.

• 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
• various wellness programs

The Company does not provide benefits directly to contingent workers/contractors and interns.

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