DATA AND ANALYTICS ARCHITECT L1 role to define and develop Enterprise Data Structure, Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information.
Requirements
- Partnering with business leadership to provide strategic information-based recommendations
- Assessing benefits and risks of data using tools such as business capability models
- Creating data strategy and road maps for Reference Data Architecture
- Engaging stakeholders to implement data governance models
- Ensuring data storage and database technologies are supported by data management and infrastructure
- Developing and communicating Data Modelling standards
- Overseeing and monitoring all frameworks to manage data across the organization
- Providing insights for database storage and platform
- Collaborating with vendors to ensure integrity, objectives and system configuration
- Collaborating with functional & technical teams and clients to understand implications of data architecture
- Presenting data repository, objects, source systems and data scenarios
- Defining high-level data migration plans
- Knowledge of Data service provider platforms and ensuring end-to-end view
- Oversight of data standards/ reference/ papers for proper governance
- Promoting, guarding and guiding the organization towards common semantics and proper use of metadata
- Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing data throughout the organization
- Providing solution of RFPs received from clients and ensuring overall implementation assurance
- Developing direction to manage portfolio of all databases
- Analyzing technology environment, enterprise specifics, client requirements to set collaboration solution
- Providing technical leadership to the implementation of custom solutions
- Defining and understanding current issues and problems and identifying improvements
- Evaluating and recommending solutions to integrate with overall technology ecosystem
- Understanding root cause problem in integrating business and product units
- Validating 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
- Tracking industry and application trends and relating these to planning current and future IT needs
- Building enterprise technology environment for data architecture management
- Developing, maintaining and implementing standard patterns for data layers, data stores, data hub & lake and data management processes
- Evaluating all implemented systems to determine their viability in terms of cost effectiveness
- Collecting all structural and non-structural data from different places integrate all the data in one database form
- Working through every stage of data processing
- Building the enterprise conceptual and logical data models for analytics, operational and data mart structures
- Implementing the best security practices across all the data bases
- Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG)
- Demonstrating strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques
- Building and maintaining relationships with delivery and practice leadership teams and other key stakeholders
- Defining database physical structure, functional capabilities, security, back-up and recovery specifications
- Developing and establishing relevant technical, business process and overall support metrics
- Monitoring system capabilities and performance
- Integrating new solutions and troubleshooting previously occurred errors
- Managing multiple projects and accurately reporting the status of all major assignments
- Identifying technical, process, structural risks and preparing a risk mitigation plan
- Ensuring quality assurance of all the architecture or design decisions
- Providing technical mitigation support to the delivery teams
- Recommending tools for reuse, automation for improved productivity and reduced cycle times
- Helping the support and integration team for better efficiency and client experience
- Ensuring architecture principles and standards are consistently applied to all the projects
- Ensuring optimal Client Engagement
Benefits
- Opportunity to reinvent your world
- Join a business powered by purpose
- Empowerment to design your own reinvention
