Data Architect

Expleo; Pune District; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

Expleo in Pune, India is seeking a Senior Data Architect to lead enterprise-scale data platforms, governance, and modernization efforts. You will design data lakes, warehouses, and lakehouses while guiding cloud ecosystems (AWS/Azure/GCP) and data pipelines across structured and unstructured data.

You will collaborate with AI/ML teams, business stakeholders, and architects to ensure scalable, secure data foundations and cost-efficient architecture that supports analytics initiatives and digital

Qualifications

• Bachelor/Master in CS/IT/Data Science or related field.
• Cloud certifications (AWS, Azure, GCP) preferred.
• TOGAF or EA certifications are a plus.
• Strong experience in enterprise data architecture and analytics.

Responsibilities

• Define enterprise data architecture strategies, standards, and governance.
• Design scalable data platforms, lakes, warehouses, and lakehouse architectures.
• Lead cloud data ecosystems across AWS/Azure/GCP.
• Develop end-to-end data pipelines for various data types.
• Establish governance, metadata, lineage, security, and compliance.
• Collaborate with AI/ML teams for data readiness and analytics.
• Model data, MDM, and data integration strategies.
• Guide ETL/ELT, streaming, and real-time processing patterns.
• Translate business requirements into scalable technical solutions.
• Drive performance, scalability, and cost optimization.

Skills

Data architecture

Cloud data platforms

Data governance

MDM / metadata management

ETL/ELT design

Data modeling

Big data technologies

Databricks

Snowflake

Kafka / Spark

Airflow / dbt

SQL / database design

API integrations

Education

Bachelor's degree in Computer Science / IT / Data Science

Master's degree

Cloud certifications (AWS, Azure, GCP)

TOGAF / enterprise architecture cert

Tools

Databricks

Snowflake

Kafka

Spark

Airflow

dbt

Job description

Overview

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

• 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 +