Data Architect

About this 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). * Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. * Hands-on experience with cloud data platforms (e.g., Azure, Google Cloud) and modern data processing frameworks. * Familiarity with scripting and programming languages (e.g., Python, SQL,) to support hands-on development and troubleshooting. * Experience with data governance frameworks & solutions ( Informatica, Collibra, Purview etc

* Exceptional client management and communication skills, with the ability to interact confidently with both technical and non-technical stakeholders. * Proven team management and leadership abilities, including mentoring, coaching, and project management. * Strong analytical and problem-solving skills with a proactive, detail-oriented approach. * Ability to work collaboratively in a fast-paced, dynamic environment while driving multiple projects to successful completio

* Relevant certifications such as Azure Solutions Architect, Certified Data Management Professional (CDMP), or similar credentials.