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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Associate - Data Governance Engineer - **Company:** New York, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $124,000.0 - $177,000.0 - **Contract:** Permanent contract - **Skills:** Test Suite, Agile Methodology, Artificial Intelligence, Amazon Web Services, Confluence, JIRA, User Authentication, Automation of Tests, Unit Testing, Cyber Security, Content Analysis, Continuous Integration, Data Governance, Data Transformation, Database Queries, Python (Programming Language), PostgreSQL, Metadata, Meta-Data Management, Systems Development Life Cycle, Query Optimization, Standard Sql, Microsoft SharePoint, Software Engineering, SQL Databases, Strategies of Testing, Unstructured Data, Indexer, Backend, Data Strategy, Integration Tests, Information Technology, Data Lineage, Collibra, Data Management, Streamlit Framework, GPT, Databricks - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=34e16405fa81dc10 ## About the Role Do you have experience in Technology security practices?, Do you have a Bachelor's degree?, * 3-5+ years of professional experience, including 1-2+ years in a data governance function. * Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong understanding of: + Unstructured data + Data governance frameworks + Metadata management + Data quality management + Data cataloging and lineage concepts * Strong proficiency with SQL, Python, and data modeling/analysis concepts. * Excellent communication, collaboration, documentation, and stakeholder management skills. * Experience working across both business and technical teams., * Hands-on experience with Atlan, Anomalo, Databricks Unity Catalog, or similar metadata and data governance tools. * Experience applying: + Governance frameworks + Data quality management + Data cataloging + Data stewardship processes * Experience working in Agile environments using Jira, Confluence, and SharePoint. * Understanding of security and authentication patterns, including AWS Secrets Manager. * Backend development experience, including: + PostgreSQL databases + Data modeling + Query optimization and indexing + Connection pooling + Strong SQL skills with the ability to analyze and validate data lineage * Software development skills, including but not limited to: + Solution design + Deployment management + SDLC patterns + CI/CD practices + Leveraging tools such as Harness + Testing methodologies including unit testing, integration testing, test automation, and test suites Preferred Skills * Working knowledge of SQL and Python for data analysis and automation. * Exposure to AI-enabled governance accelerators and metadata enrichment/cataloging tools. * Experience using tools such as ChatGPT, Claude, and similar applications for: + Research + Document analysis + Summarization + Workflow automation + QA + Prototyping * Experience supporting data modernization or cloud migration initiatives in enterprise environments. ## Description The Data Governance Engineer (Unstructured Data) plays a key role in advancing New York Life's data governance initiatives. This individual contributor role focuses on the operational design and execution of: * Metadata cataloging * Lineage harvesting * Governance workflows * Data quality management with a focus on unstructured data, leveraging technical platforms such as Atlan, Anomalo, and Unity Catalog. Working closely with data governance analysts, product managers, and technology teams, the Data Governance Engineer enhances data discoverability, quality, and compliance across the enterprise, supporting New York Life's Data Strategy and enabling timely, data-driven decisions built on trusted information., * Develop and maintain automated data quality checks, validation rules, and monitoring across multiple systems and datasets. * Support governance efforts related to metadata, tags, data definitions, and data standardization to improve consistency, traceability, and usability. * Configure, test, and maintain Atlan and Anomalo platform functionality, including building custom connectors and supporting BAU platform operations. * Work across both structured and unstructured data to support governance, profiling, assessment, and quality improvement efforts. * Build hands-on solutions, prototypes, dashboards, or lightweight applications using Python, SQL, Streamlit, Databricks, and related tools. * Collaborate with stakeholders to define data governance requirements for critical data elements and support remediation prioritization. * Create clear documentation and reporting to communicate findings, standards, and recommendations. * Drive adoption of governance tools through roadshows, training sessions, user enablement, and data owner/steward playbooks. * Participate in Agile ceremonies by contributing to backlog building and sprint events in Jira. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)