Key Responsibilities
- Enterprise Data Strategy & Client Engagement:
- Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives.
- Serve as a key technical advisor for clients, translating business requirements into innovative data solutions.
- Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles.
- Data Modeling, Design & Engineering:
- Design and optimize both logical and physical data models to support enterprise-wide systems.
- Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics.
- Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance.
- Technology Evaluation & Implementation:
- Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability.
- Oversee the integration of current technologies into the enterprise data architecture, balancing innovation with risk management.
- Team Leadership & Hands-On Management:
- Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects.
- Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues.
- Ensure project milestones are met through effective resource management and team coordination.
- Performance, Security & Best Practices:
- Optimize data storage, retrieval, and processing performance across various systems.
- Collaborate with security teams to enforce data governance, compliance, and privacy standards.
- Establish and promote best practices in data management, data engineering, and architecture design.
- Documentation & Reporting:
- Develop and maintain comprehensive documentation covering data architecture designs, dat
📌 Data Architect (Pune)
🏢 Artefact
📍 Pune