Data & Analytics

Capgemini; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Capgemini in Bengaluru is seeking a Data & Analytics Architect to design end-to-end data architectures, establish data standards, and enable business-driven analytics.

You will collaborate with stakeholders, engineering, and governance teams to deliver scalable, secure data ecosystems and lead initiatives across data governance, quality, and analytics.

Qualifications

• 12+ years in data architecture, analytics, and enterprise data management.
• Hands-on data engineering and integration (ETL/ELT).
• Deep expertise in data warehousing and lakehouse concepts.
• Experience with governance, quality, and MDM frameworks.
• Strong skills in SQL and Python/PySpark.
• Cloud data platforms and modern analytics architectures.
• Knowledge of data security, privacy, and regulatory requirements.

Responsibilities

• Define and lead end-to-end scalable data architectures from concept through production deployment.
• Ensure alignment of data solutions with enterprise architecture standards, business objectives, and best practices.
• Collaborate with compliance, privacy, risk, security, platform, and operations teams to meet requirements.
• Develop data strategies, architectures, and policies covering governance, metadata, quality, and security.
• Provide technical leadership and trusted advisory across programs for data initiatives.
• Lead data analysis activities including profiling, transformation design, integration, and quality assessments.
• Design, document, and maintain conceptual, logical, and physical data models.
• Oversee the complete data lifecycle ensuring high-quality, scalable data solutions.
• Guide development teams on architecture, governance, and continuous improvement practices.
• Conduct advanced analytics to generate actionable insights and measure business outcomes.
• Design dashboards that enable effective decision-making across stakeholders.

Skills

Data Architecture

Data Modeling

ETL/ELT

Data Warehousing

Data Governance

SQL

Python / PySpark

Cloud Data Platforms

Stakeholder Management

Leadership

Job description

Data & Analytics Architect

Your Role

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.

Responsibilities

• 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, 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.

Qualifications

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.