Data Architect

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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.