DATA AND ANALYTICS ARCHITECT L1 role involves defining and developing Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing, and collaborating with stakeholders to implement data governance models and ensure compliance with data modelling standards.
Requirements
- Define and Develop Data Architecture
- Partner with business leadership to provide strategic recommendations
- Assess benefits and risks of data
- Create data strategy and road maps
- Implement data governance models
- Ensure data storage and database technologies are supported
- Develop, communicate, support and monitor compliance with Data Modelling standards
- Oversee and monitor all 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
- 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 data
- 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 in accordance with industry best practices
- Implement the best security practices across all the data bases based on the accessibility and technology
- Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG)
- 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
- Support pre-sales team while presenting the entire solution design and its principles to the client
- Negotiate, manage and coordinate with the client teams to ensure all requirements are met
- Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor
Benefits
- Competitive salary
- Benefits package
- Opportunities for growth and development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
