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Technology & Transformation | Associate Director | Data Architect | Delhi | DigiGov

Deloitte

Delhi, INonsitePosted Aug 18, 2026
Posting intelligenceActively listed

Skills

databrickssnowflakebigqueryredshiftpythonazurekafkascalacicdgooglecloudawsml

About the role

Technology & Transformation | Associate Director | Data Architect | Delhi | DigiGov

Job requisition ID : 107517

Location: Delhi

Entity: Deloitte Touche Tohmatsu India LLP

The team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage.

Your work profile

Proven experience managing architecture or engineering teams.

Strong stakeholder management and communication skills.

Ability to influence senior leadership and drive strategic decisions.

Experience handling enterprise transformation programs.

Strong problem-solving and analytical capabilities.

Key skills required:

12–15 years of experience in Data Engineering, Data Architecture, or Enterprise Data Management.

Strong experience designing enterprise-scale data architectures.

Expertise in cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud.

Hands-on experience with modern data warehousing and lakehouse platforms such as Snowflake, Databricks, BigQuery, or Redshift.

Strong understanding of data modeling techniques (OLTP, OLAP, dimensional modeling, Data Vault).

Experience with ETL/ELT tools and orchestration frameworks.

Proficiency in SQL and programming languages such as Python, Scala etc.

Experience with streaming technologies like Apache Kafka is preferred.

Knowledge of data governance, MDM, cataloging, lineage, and security frameworks.

Familiarity with DevOps/DataOps and CI/CD practices.

Experience working with large-scale distributed data systems.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.

Cloud certifications (AWS/Azure/GCP) preferred.

TOGAF or enterprise architecture certifications are a plus.

Exposure to AI/ML data platforms and advanced analytics ecosystems is desirable.

Location and Way of Working:

Base location: Delhi

Questions about this role

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