Data and Analytics Architect L1 role involves defining and developing enterprise data structure, data warehouse, master data, integration, and transaction processing. The role requires strong technical skills in data engineering, architecture, and management, as well as excellent communication and leadership skills.
Requirements
- Define and Develop Data Architecture
- Partner with business leadership to provide strategic recommendations
- Assess benefits and risks of data using tools such as business capability models
- Create data strategy and road maps for Reference Data Architecture
- Implement data governance models and ensure compliance
- Develop, communicate, and monitor compliance with Data Modelling standards
- Oversee and monitor frameworks to manage data across organization
- Collaborate with vendors to ensure integrity and system configuration
- Collaborate with functional & technical teams and clients to understand implications of data architecture
- Present data repository, objects, and scenarios for front end and back end usage
- Define high-level data migration plans
- Knowledge of all Data service provider platforms
- Oversight of all data standards and reference papers for proper governance
- Promote, guard, and guide the organization towards common semantics and metadata use
- Collecting, aggregating, matching, consolidating, quality-assuring, persisting, and distributing data
- Provide solution for RFP's received from clients and ensure overall implementation assurance
- Develop a direction to manage portfolio of all databases
- Analyze technology environment, enterprise specifics, client requirements to set collaboration solution for big/small data
- Provide technical leadership for implementation of custom solutions
- Define and understand current issues and problems and identify improvements
- Evaluate and recommend solutions to integrate with overall technology ecosystem
- Validate 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
- Build enterprise technology environment for data architecture management
- Develop, maintain, and implement standard patterns for data layers, data stores, data hub & lake, and data management processes
- Evaluate all implemented systems to determine viability in terms of cost effectiveness
- Collect all structural and non-structural data from different places and integrate all data in one database form
- Work through every stage of data processing
- Build enterprise conceptual and logical data models for analytics, operational, and data mart structures
- Implement best security practices across all databases based on accessibility and technology
- Strong understanding of 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
- 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
- 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
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
