Expleo Group
Expleo Group
Expleo Group is a global engineering, technology, and consulting partner helping organizations transform operations, develop complex products, and improve manufacturing and quality processes. Its work spans consulting, defense, and logistics, with capabilities in artificial intelligence, digitalization, and cybersecurity. Founded in 1966, Expleo combines more than five decades of experience with a team of 18,000 experts working across 29 countries to support innovation and operational performance.

Senior Data Architect – Pune Hybrid

Senior Data Architect role focused on modernizing enterprise data platforms, governance, cloud analytics, and AI/ML readiness. Based in Pune with a hybrid working arrangement.

Description

  • Develop and implement enterprise data architecture strategies, standards, and best practices
  • Design scalable data platforms, data lakes, data warehouses, and lakehouse architectures
  • Lead architecture discussions for cloud data ecosystems across AWS, Azure, and GCP
  • Create end-to-end pipelines for structured, semi-structured, and unstructured data
  • Establish frameworks for data governance, metadata, lineage, security, and compliance
  • Partner with AI/ML teams to build reliable data foundations for analytics and AI solutions
  • Define enterprise data models, master data management, and data integration strategies
  • Advise teams on ETL/ELT frameworks, streaming architectures, and real-time processing
  • Convert business requirements into scalable technical solutions with stakeholders
  • Drive performance, scalability, and cost optimization across data platforms
  • Assess and recommend data and AI technologies, tools, and accelerators
  • Provide technical leadership and mentorship to data engineers, developers, and architects
  • Maintain compliance with enterprise security, privacy, and regulatory obligations
  • Contribute to solution estimates, proposals, architecture reviews, and customer discussions

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field
  • 10+ years of experience
  • Extensive experience in enterprise data architecture and large-scale data platform implementation
  • Expertise with AWS, Azure, or GCP cloud data platforms
  • Advanced knowledge of data warehousing, data lakes and lakehouses, ETL/ELT frameworks, data modeling, data governance, master data management, and metadata management
  • Experience with Databricks, Snowflake, Kafka, Spark, Airflow, and dbt
  • Advanced SQL and database design skills
  • Understanding of AI/ML data pipelines and analytics ecosystems
  • Experience with API integrations and enterprise integration patterns
  • Familiarity with DevOps, DataOps, and MLOps practices
  • Strong stakeholder management and communication abilities
  • Experience leading distributed or global teams
  • Strong problem-solving and strategic thinking skills
  • Experience in Agile delivery environments
  • Ability to lead architecture governance and technical decisions
  • Cloud certifications are preferred, including AWS Certified Data Analytics, Azure Data Engineer or Solutions Architect, and Google Professional Data Engineer
  • TOGAF or enterprise architecture certification is an added advantage

Benefits

  • Hybrid working arrangement
  • Permanent, full-time employment
  • Cloud certification opportunities aligned with AWS, Azure, and GCP ecosystems

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