The Data Governance Architect will define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing. The role involves maintaining and strengthening the modelling standards and business information, partnering with business leadership to provide strategic recommendations, and creating data strategy and road maps for the Reference Data Architecture.
Requirements
- Define and Develop Data Architecture
- Partner with business leadership to provide strategic recommendations
- Create data strategy and road maps for the Reference Data Architecture
- Implement data governance models
- Ensure compliance with Data Modelling standards
- Oversee and monitor frameworks to manage data across organization
- Provide insights for database storage and platform for ease of use and least manual work
- Collaborate with vendors to ensure integrity, objectives and system configuration
- Collaborate with functional & technical teams and clients to understand the implications of data architecture
- Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage
- Define high-level data migration plans
- Knowledge of all the Data service provider platforms
- Oversight all the data standards/ reference/ papers for proper governance
- Promote, guard and guide the organization towards common semantics and the proper use of metadata
- Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization
- Provide solution of RFPs received from clients
- Develop a direction to manage the portfolio of all the databases
- Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data
- Provide technical leadership to the implementation of custom solutions
- Define and understand current issues and problems and identify improvements
- Evaluate and recommend solutions to integrate with overall technology ecosystem
- Understand the root cause problem in integrating business and product units
- Validate the solution/ prototype from technology, cost structure and customer differentiation point of view
- Collaborating with sales and delivery leadership teams to identify future needs and requirements
- Tracks industry and application trends and relates these to planning current and future IT needs
- Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes
- Evaluate all the implemented systems to determine their viability in terms of cost effectiveness
- Collect all the structural and non-structural data from different places integrate all the data in one database form
- Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports
- Build the enterprise conceptual and logical data models for analytics, operational and data mart structures
- Implement the best security practices across all the data bases
- Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration
- Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor
- Define database physical structure, functional capabilities, security, back-up and recovery specifications
- Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results
- Monitor system capabilities and performance by performing tests and configurations
- Integrate new solutions and troubleshoot previously occurred errors
- Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards
- Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects
- Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams
- Recommend tools for reuse, automation for improved productivity and reduced cycle times
- Help the support and integration team for better efficiency and client experience for ease of use by using AI methods
- Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams
- Ensures architecture principles and standards are consistently applied to all the projects
- Ensure optimal Client Engagement
Benefits
- Competitive salary
- Benefits package
- Opportunities for career growth and development
- Collaborative and dynamic work environment
