Data & Analytics Professional

As a Data Analytics Architect, you will be responsible for designing end-to-end data architectures, establishing data standards and frameworks, and enabling business-driven analytics solutions. You will collaborate with business stakeholders, engineering teams, and governance functions to deliver scalable, secure, and high-quality data ecosystems.

• Define, design, and lead the implementation of end-to-end scalable data architectures from concept through production deployment.
• Ensure alignment of data solutions with enterprise architecture standards, business objectives, and industry best practices.
• Collaborate with compliance, privacy, risk, security, platform, and operations teams to incorporate all business and regulatory requirements into data solutions.

• Develop data strategies, architectures, and policies covering:

• Data Governance
• Master Data Management (MDM)
• Metadata Management
• Data Quality
• Data Security and Privacy

• Provide technical leadership and act as a trusted advisor for data-related initiatives across programs.
• Define and establish scalable, reusable standards, frameworks, and best practices for data architecture and analytics.
• Lead data analysis activities including data profiling, transformation design, integration requirements, and quality assessments.
• Design, document, and maintain conceptual, logical, and physical data models.
• Oversee the complete data lifecycle, ensuring high-quality, scalable, and maintainable data solutions.
• Guide development teams on architecture, implementation approaches, governance, and continuous improvement practices.
• Conduct advanced analytics to generate actionable insights, identify trends, and measure key business outcomes.
• Design visual analytics and dashboards that enable effective decision-making across stakeholders.
• Apply statistical and analytical techniques to solve complex business problems and uncover business value.
• Collaborate with data engineers, analysts, scientists, and platform teams to implement scalable analytics solutions.
• Drive quality, governance, and delivery excellence across data and analytics initiatives.
• Manage and optimize large-scale structured and unstructured datasets for reporting, analytics, and business intelligence use cases.

Mandatory Skills

• 12+ years of experience in Data Architecture, Analytics, and Enterprise Data Management.
• Strong expertise in Data Architecture and Data Modeling techniques.
• Hands-on experience in Data Engineering and Data Integration (ETL/ELT).
• Deep understanding of Data Warehousing and Lakehouse Architecture.
• Experience implementing Data Governance, Data Quality, and Master Data Management frameworks.
• Strong capabilities in Data Analysis, Data Profiling, and Data Transformation.
• Experience designing Business Intelligence and Data Visualization solutions.
• Expertise in Statistical Analysis, Predictive Analytics, and Data Mining methodologies.
• Experience working with Big Data platforms and distributed data processing frameworks.
• Proficiency in SQL and programming languages such as Python and PySpark.
• Strong understanding of Cloud Data Platforms and modern analytics architectures.
• Experience in Data Security, Privacy, Compliance, and Regulatory requirements.
• Knowledge of DataOps, CI/CD practices, and automation frameworks.
• Strong stakeholder management, consulting, and technical leadership skills

We deliver end-to-end services and solutions with our deep industry expertise andstrong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of 22.1 billion.Capgemini in India comprises nearly 235,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem, and Tiruchirappalli..