The Data and Analytics Architect L1 role is responsible for defining and developing Enterprise Data Structure, Data Warehouse, Master Data, Integration, and transaction processing, while maintaining and strengthening modeling standards and business information.
Requirements
- Define and Develop Data Architecture
- Partner with business leadership to provide strategic, information-based recommendations
- Assess the benefits and risks of data using tools such as business capability models
- Create data strategy and road maps for the Reference Data Architecture
- Implement data governance models and ensure compliance with Data Modelling standards
- Oversee and monitor all frameworks to manage data across the 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
- Present data repository, objects, source systems along with data scenarios for the front end and back end usage
- Define high-level data migration plans to transition the data from source to target system/application
- Knowledge of all the Data service provider platforms and ensure end-to-end view
- 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 RFP's received from clients and ensure overall implementation assurance
- Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services
- Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for big/small data
- Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology
- 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
- 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 based on the accessibility and technology
- 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
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
