Data Architect

Expleo Group; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Expleo Group in Pune seeks an experienced Senior Data Architect to lead design, modernization, and governance of enterprise data platforms. You will shape data architecture, data lakes/warehouses, and lakehouse patterns that support digital transformation and advanced analytics.

Collaborating with business, AI teams, and engineering, you will drive cloud-based ecosystems (AWS/Azure/GCP), data governance, MDM, and metadata management, while mentoring engineers and aligning solutions with security

Qualifications

• Bachelor’s or Master’s degree in CS/IT/Data Science or related field.
• Cloud certifications such as AWS, Azure, or Google Cloud preferred.
• TOGAF or enterprise architecture certifications are a plus.

Responsibilities

• Define and implement enterprise-wide data architecture strategies and standards.
• Design scalable data platforms, lakes, warehouses and lakehouse patterns.
• Lead cloud data ecosystems across AWS, Azure, and GCP.
• Create end-to-end data pipelines for structured, semi-structured and unstructured data.
• Establish data governance, lineage, security, and compliance frameworks.
• Collaborate with AI/ML teams to enable analytics-ready data foundations.
• Develop enterprise data models and master data management strategies.
• Guide ETL/ELT, streaming architectures and real-time processing.
• Translate business requirements into scalable technical solutions.
• Lead performance, scalability, and cost optimization for data platforms.
• Evaluate new tools and accelerators in data/AI ecosystems.
• Provide technical leadership and mentorship to engineers and architects.
• Ensure compliance with security, privacy, and regulatory requirements.
• Participate in solution estimation, architecture reviews and customer discussions.

Skills

Enterprise data architecture

Cloud data platforms

Data governance

Data modeling

ETL/ELT

AI/ML data pipelines

Stakeholder management

Leadership

SQL/database design

DevOps/DataOps/MLOps

Education

Bachelor's or Master’s degree in Computer Science / IT / Data Science

Tools

Databricks

Snowflake

Kafka

Spark

Airflow

dbt

Job description

We are looking for an experienced and strategic Senior Data Architect to lead the design, modernization, and governance of enterprise-scale data platforms and architectures. The ideal candidate will have strong expertise in data engineering, cloud data ecosystems, enterprise integration, analytics, AI/ML data readiness, and modern data governance practices.

The role requires close collaboration with business stakeholders, enterprise architects, AI teams, engineering teams, and leadership to build scalable, secure, and high-performing data solutions that support digital transformation and advanced analytics initiatives.

Responsibilities

• Define and implement enterprise-wide data architecture strategies, standards, and best practices.
• Design scalable data platforms, data lakes, data warehouses, and modern lakehouse architectures.
• Lead architecture discussions for cloud-based data ecosystems across AWS, Azure, or GCP.
• Design end-to-end data pipelines for structured, semi-structured, and unstructured data.
• Establish data governance, metadata management, lineage, security, and compliance frameworks.
• Work closely with AI/ML teams to enable high-quality data foundations for analytics and AI solutions.
• Define enterprise data models, master data management (MDM), and data integration strategies.
• Guide teams on ETL/ELT frameworks, streaming architectures, and real-time data processing.
• Collaborate with business stakeholders to translate business requirements into scalable technical solutions.
• Lead performance optimization, scalability planning, and cost optimization initiatives for data platforms.
• Evaluate and recommend new tools, technologies, and accelerators in the data and AI ecosystem.
• Provide technical leadership and mentoring to data engineers, developers, and architects.
• Ensure compliance with enterprise security, privacy, and regulatory requirements.
• Participate in solution estimation, proposal creation, architecture reviews, and customer discussions.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or related field.
• Cloud certifications preferred:
  • AWS Certified Data Analytics
  • Azure Data Engineer / Solutions Architect
  • Google Professional Data Engineer
• TOGAF or enterprise architecture certifications are an added advantage.

Technical Skills

Essential skills

• Strong experience in enterprise data architecture and large-scale data platform implementation.
• Expertise in cloud platforms such as:
  • AWS (Redshift, Glue, EMR, Athena, S3)
  • Azure (Azure Data Factory, Synapse, Databricks, ADLS)
  • GCP (BigQuery, Dataflow, Dataproc)
• Strong knowledge of:
  • Data Warehousing
  • Data Lakes / Lakehouse Architecture
  • ETL / ELT frameworks
  • Data Modeling
  • Data Governance
  • Master Data Management
  • Metadata Management
• Experience with modern data engineering tools such as:
  • Databricks
  • Snowflake
  • Kafka
  • Spark
  • Airflow
  • dbt
• Strong SQL and database design expertise.
• Understanding of AI/ML data pipelines and analytics ecosystems.
• Experience with API integrations and enterprise integration patterns.
• Familiarity with DevOps/DataOps/MLOps practices.

Leadership & Functional Skills

• Strong stakeholder management and communication skills.
• Experience leading distributed/global teams.
• Strong problem-solving and strategic thinking capabilities.
• Experience working in Agile delivery environments.Ability to drive architecture governance and technical decision-making.

Experience

10 years +