Data Governance Architect

As a Data Governance Architect at Straive, you will play a crucial role in defining and leading enterprise-wide data governance strategies, designing governance architecture, and implementing tools like Informatica EDC/AXON, Collibra, Alation, MHUB, and other leading Data Governance platforms. Your primary responsibility will be to ensure data quality, consistency, and accessibility across various Enterprise platforms and business units. **Key Responsibilities:** - Design, develop, and maintain enterprise-wide data governance architecture frameworks and metadata models. - Establish data governance strategies, policies, standards, and procedures for compliance processes. - Conduct maturity assessments and change management efforts. - Evaluate and recommend Data Governance framework and tools to meet enterprise business needs. - Design and implement architectural patterns for data catalog, data quality, metadata management, data lineage, data security, and master data management (MDM) across various data platforms. - Create and manage data dictionaries, metadata repositories, and data catalogs. - Architect technical and business metadata workflows and govern glossary approvals and workflows. - Validate end-to-end lineage across multiple sources and targets. - Design and enforce rules for classification, access, retention, and sharing data techniques. - Analyze and define the enterprise business KPIs and validate data governance requirements. - Collaborate with Data Stewards to define technical specifications for data quality rules, validation checks, and KPIs reporting. - Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. - Ensure data compliance with relevant regulations like GDPR, HIPAA, CCPA, SOX, etc. - Excellent communication and ability to mentor and inspire teams. **Qualifications Required:** - Bachelor's/master's degree in information systems, Computer Science, or a related technical field. - Strong knowledge of data governance, architecture techniques, and methodologies with experience in data governance initiatives. - Minimum 7 years of experience in data governance architecture and implementation across business enterprises. - Hands-on experience in designing and implementing architectural patterns for data quality, metadata management, data lineage, data security, and master data management. - Strong expertise in Collibra including workflows, APIs, metadata integration, and policy automation. - Experience with ETL/ELT pipelines, data lineage capture, and data integration tools. - Proficiency in SQL, Python/Java for integration and automation. - Familiarity with data modeling (conceptual, logical, physical). - Proficiency in working with cloud platforms (AWS, Azure, or GCP). - Knowledge of big data technologies (Hadoop/Spark, etc.) and data visualization and BI tools. As a Data Governance Architect at Straive, you will be a part of a market-leading Content and Data Technology company, contributing to data services, subject matter expertise, and technology solutions across various domains. With a client-base spanning 30 countries worldwide, you will have the opportunity to work with a diverse and multi-geographical resource pool strategically located in eight countries. As a Data Governance Architect at Straive, you will play a crucial role in defining and leading enterprise-wide data governance strategies, designing governance architecture, and implementing tools like Informatica EDC/AXON, Collibra, Alation, MHUB, and other leading Data Governance platforms. Your primary responsibility will be to ensure data quality, consistency, and accessibility across various Enterprise platforms and business units. **Key Responsibilities:** - Design, develop, and maintain enterprise-wide data governance architecture frameworks and metadata models. - Establish data governance strategies, policies, standards, and procedures for compliance processes. - Conduct maturity assessments and change management efforts. - Evaluate and recommend Data Governance framework and tools to meet enterprise business needs. - Design and implement architectural patterns for data catalog, data quality, metadata management, data lineage, data security, and master data management (MDM) across various data platforms. - Create and manage data dictionaries, metadata repositories, and data catalogs. - Architect technical and business metadata workflows and govern glossary approvals and workflows. - Validate end-to-end lineage across multiple sources and targets. - Design and enforce rules for classification, access, retention, and sharing data techniques. - Analyze and define the enterprise business KPIs and validate data governance requirements. - Collaborate with Data Stewards to define technical specifications for data quality rules, validation checks, and KPIs reporting. - Collaborate with cross-functional teams to understand business requirements and transla