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Data Architect

7 days ago 2026/05/29
Other Business Support Services
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Job description

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.
This job post has been translated by AI and may contain minor differences or errors.
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