Data Governance Architect

About Straive:

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Website: https://www.straive.com/

Job Summary:

We are seeking a highly skilled Data Governance Architect with strong expertise in defining and lead enterprise-wide Data governance strategies, design, governance architecture and experience in tools implementation like Informatica EDC/AXON, Collibra,Alation,MHUB and other leading Data Governance tool platforms. The ideal candidate will lead data quality, consistency, and accessibility across various Enterprise platforms and business units.

Required Qualifications:

• Bachelor’s/master’s degree in information systems, Computer Science, or a related technical field.
• Strong knowledge of data governance, architecture techniques and methodologies and experience in data governance initiatives is must.
• 7 years of minimum experience in data governance architecture and implementation of Data Governance across business enterprise.
• Hands on experience in design and implement architectural patterns for data quality, metadata management, data lineage, data security, and master data management
• Strong hands-on expertise in Collibra (workflows, APIs, metadata integration, policy automation).
• Experience with ETL/ELT pipelines, data lineage capture, and data integration tools.
• Familiarity with data modeling (conceptual, logical, physical).
• Proficiency in SQL, Python/Java for integration and automation.
• Experience with SQL, back end scripting and API’s.
• Understanding of data governance principles and compliance practices
• Proficiency in working with cloud platforms (AWS, Azure, or GCP)
• Knowledge of big data technologies (Hadoop/Spark, etc.) and data visualization and BI tools
• is a plus
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management abilities

Roles & responsibilities:

• Design, develop, and maintain enterprise-wide data governance architecture frameworks and meta data 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 (e.g., data lakes, data warehouses, operational databases).
• 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/ Define the enterprise business KPI’s and validate data governance requirements.
• Collaborate with Data Stewards to define technical specifications for data quality rules, validation checks and KPI’s 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.