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Deloitte

Technology and Transformation - Engineering - Associate Director- Data Architect - Pune

Pune District · Staff/Principal

Good timing - competition is buildingVerified listingPosted 6d ago

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15 listed
CI/CDManaging Client ExpectationsPerformance ManagementMachine LearningCapability DevelopmentTransformation (Genetics)Amazon Web ServicesMicrosoft Azure+7 more
CI/CDManaging Client ExpectationsPerformance ManagementMachine LearningCapability Development

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Job description

Technology and Transformation - Engineering - Associate Director- Data Architect - Pune
• Job requisition ID : 114137 
• Location: Pune
• 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. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. 

      

Your work profile

 

We are looking for skilled and strong expertise in data architecture, cloud ecosystems (AWS/Azure/GCP), and modern data platforms. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

 

Key Skills & Competencies

 

  • 8 + years of experience in design and implement scalable cloud-based data solutions.
  • Lead data engineering teams and ensure timely delivery.
  • Develop and optimize data pipelines using Databricks and cloud tools.
  • Work closely with clients to translate business requirements into technical solutions.
  • Ensure data quality, performance, and governance standards.
  • Support pre-sales and solutioning initiatives.
  • Strong hands-on experience in AWS/Azure/GCP.
  • Expertise in Databricks/Spark and big data processing.
  • Experience in ETL/ELT pipelines and data modeling.
  • Strong SQL and Python/Scala skills.
  • Experience managing teams and project delivery.
  • Snowflake knowledge.
  • CI/CD and DevOps practice for data pipelines.
  • Exposure to orchestration tools (Airflow, etc.).
  • Knowledge of data governance frameworks.
  • Leading teams and ensuring high-quality delivery.
  • Managing client expectations and communications.
  • Driving collaboration and team performance.
  • Problem solving and delivering business value.
  • Supporting capability development and mentoring team members.

 

Preferred Qualifications

 

      Education - B. tech / BE in Computer Science or Information Technology.

 

Success Metrics

 

  • 10 + years of strong hands-on experience in AWS/Azure/GCP.
  • Expertise in Databricks + Snowflake, Spark and big data processing.
  • Experience in ETL/ELT pipelines and data modeling.
  • Strong SQL and Python/Scala skills.
  • Experience managing teams and project delivery.

 

 

Location and way of working:

 

  • Location: Pune

 

  • Work Model: Hybrid – Mandatory 3 days/week from client office

 

 

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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