Vcorp Ventures
Associate Director - Data Architect
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
23 August 2026
What they need
The team
Deloittes 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
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