1 Year FTC role Job Summary: We are looking for an experienced Data Governance Lead to drive enterprise-wide data governance initiatives with a focus on modern cloud data platforms, specifically Databricks and Microsoft Azure. This role will define and enforce data policies, standards, and best practices that ensure high data quality, security, and regulatory compliance across our data ecosystem. You will collaborate with cross-functional teams to embed governance into our cloud-based data architecture and analytics processes. Key Responsibilities: • Develop and implement enterprise-level data governance frameworks, standards, and operating models, aligned with business objectives and compliance requirements. • Collaborate with data engineering and platform teams to integrate data governance within Databricks and Azure environments, including Data Lake, Synapse, and Purview. • Define and enforce data classification, access management, and lineage tracking using Azure-native and third-party tools. • Lead the Data Governance Council, facilitate stakeholder engagement, and ensure alignment across business, IT, compliance, and security teams. • Establish data quality metrics, rules, and monitoring mechanisms across cloud data pipelines and lakehouses. • Champion the use of metadata management, data catalogs (e.g., Azure Purview, Unity Catalog), and standardized business glossaries. • Provide governance oversight for data sharing and consumption in Databricks notebooks, Power BI reports, and machine learning workflows. • Drive awareness and adoption of governance policies through training, documentation, and data literacy programs. • Ensure data governance supports regulatory compliance, (e.g. GDPR) and internal risk frameworks. Qualifications: Required: • Bachelor's degree in Information Management, Computer Science, Business, or a related field. • 5+ years of experience in data governance, data management, or data architecture. • Hands-on experience with Databricks and/or Microsoft Azure data services (e.g., Data Lake Storage, Synapse, Purview, Azure Data Factory). • Strong understanding of data governance frameworks such as DAMA-DMBOK. • Familiarity with data privacy, security, and compliance regulations. Preferred: • Certifications in Azure (e.g., Azure Data Engineer, Azure Fundamentals) or Databricks (e.g., Lakehouse Fundamentals). • Experience with governance tools such as Azure Purview. • Knowledge of modern data platforms and data lakehouse architecture. • Excellent communication and leadership skills with the ability to influence across functions.