Data Architect

About the role

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 new 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, data flows, integration processes, and project status.

- Provide regular updates and reports to both internal stakeholders and clients on project progress and system performance.

Required Qualifications

- Education:

- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.

- Experience:

- 10+ years of experience in data architecture, data engineering, or related roles.

- Proven experience in designing and implementing enterprise-level data solutions with a hands-on technical approach.

- Demonstrated track record of managing client relationships and leading technical teams.

- Technical Skills:

- Expertise in data modeling, data warehousing, and database design (both relational and NoSQL).