Senior Data Architect

14 Minutes ago • 12-16 Years
Data Analysis

Job Description

Design and lead enterprise-scale data architecture solutions, ensuring scalability, security, and alignment with business objectives. Drive data governance, quality, and integration across platforms while ensuring compliance and performance. Collaborate with cross-functional teams, provide technical leadership, and continuously evaluate emerging technologies. This role offers clear career progression paths, involvement in mission-critical initiatives, and the opportunity to work with global teams on secure, scalable data solutions for Fortune 500 clients.
Must Have:
  • Design and lead enterprise-scale data architecture solutions that are scalable, secure, and aligned with business objectives
  • Drive data governance, quality, and integration across platforms while ensuring compliance and performance
  • Collaborate with cross-functional teams to deliver robust data solutions and provide technical leadership
  • 12–16 years of experience in data architecture, engineering, and enterprise data platforms
  • Expertise in designing and implementing data warehouses, BI platforms, and cloud-based data solutions
  • Strong hands-on skills in SQL Server, Synapse, Power BI, Azure Data Factory, and data modeling
  • Experience with cloud platforms (Azure, GCP) and scripting in Python
  • Excellent communication, strategic thinking, and stakeholder management capabilities
Perks:
  • Lead enterprise-scale data architecture initiatives that align with business goals and modern data platform strategies
  • Collaborate with global teams to deliver secure, scalable, and high-performance data solutions
  • Clear career progression paths from data architecture leadership to strategic roles in enterprise architecture and consulting
  • Be part of mission-critical initiatives that drive data governance, analytics, compliance, and innovation for Fortune 500 clients

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Your Role

  • Design and lead enterprise-scale data architecture solutions that are scalable, secure, and aligned with business objectives.
  • Drive data governance, quality, and integration across platforms while ensuring compliance and performance.
  • Collaborate with cross-functional teams to deliver robust data solutions and provide technical leadership across the organization.
  • Continuously evaluate emerging technologies and develop strategic roadmaps for data architecture evolution.

Your Profile

  • 12–16 years of experience in data architecture, engineering, and enterprise data platforms.
  • Expertise in designing and implementing data warehouses, BI platforms, and cloud-based data solutions.
  • Strong hands-on skills in SQL Server, Synapse, Power BI, Azure Data Factory, and data modeling.
  • Experience with cloud platforms (Azure, GCP) and scripting in Python.
  • Excellent communication, strategic thinking, and stakeholder management capabilities.

What you will love working at Capgemini

  • Lead enterprise-scale data architecture initiatives that align with business goals and modern data platform strategies.
  • Collaborate with global teams to deliver secure, scalable, and high-performance data solutions across cloud and on-prem environments.
  • Clear career progression paths from data architecture leadership to strategic roles in enterprise architecture and consulting.
  • Be part of mission-critical initiatives that drive data governance, analytics, compliance, and innovation for Fortune 500 clients.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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