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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Management Lead - **Company:** PHOTON, LLC - **Location:** United States - **Experience:** Expert - **Salary:** $41,000.0 - $146,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Profiling, Data Warehousing, Relational Databases, DevOps, Meta-Data Management, Metadata Repositories, SQL Databases, Talend, Enterprise Data Management, Google Cloud, Azure Data Factory, Data Strategy, Information Technology, Data Lineage, Collibra, AWS Data Analytics, SAP MDG, Data Management - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cf3e6263c12a2346 ## About the Role * Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. * 8-12+ years of experience in data management, data governance, or related disciplines. * 3-5+ years of experience leading teams or enterprise data initiatives. * Strong understanding of: + Data Governance + Data Quality Management + Master Data Management (MDM) + Metadata Management + Data Lineage + Data Catalogs * Experience with SQL and relational databases. * Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. * Familiarity with data warehousing and ETL/ELT processes. * Excellent stakeholder management, communication, and leadership skills. Preferred Skills * Experience with tools such as: + Collibra + Informatica + Microsoft Purview + Alation + Talend + Ataccama + SAP MDG * Knowledge of data privacy regulations (GDPR, CCPA, HIPAA, etc., as applicable). * Experience with Agile and DevOps methodologies. * Relevant certifications such as DAMA CDMP, Azure Data Engineer, AWS Data Analytics, or Informatica certifications. ## Description The Data Management Lead is responsible for defining and executing the organization's data management strategy, ensuring data quality, governance, security, and compliance. This role partners with business and technology teams to establish data standards, improve data quality, and enable data-driven decision-making., * Develop and implement enterprise data management strategies and frameworks. * Lead data governance initiatives, including data ownership, stewardship, and policies. * Define and maintain data quality standards, metrics, and monitoring processes. * Oversee master data management (MDM), metadata management, and data catalog initiatives. * Collaborate with business stakeholders to understand data requirements and translate them into scalable solutions. * Ensure compliance with regulatory requirements and organizational data policies. * Lead data profiling, cleansing, validation, and remediation activities. * Manage data lifecycle processes, including acquisition, storage, archival, and disposal. * Partner with data engineering, analytics, architecture, and security teams to deliver reliable data platforms. * Establish KPIs and dashboards to measure data quality and governance effectiveness. * Mentor and lead a team of data analysts, data stewards, or data management professionals. * Drive continuous improvement in data management practices and tools. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)