Technology and Transformation - Engineering - Manager- Data Architect - Pune

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft; Pune District; Hybrid; INR 2,500,000 - 4,200,000; Full time

Job summary

Deloitte Touche Tohmatsu India LLP invites applications for the Technology and Transformation - Engineering - Manager- Data Architect role in Pune. The incumbent will lead data engineering efforts, design scalable cloud-based data solutions, and collaborate with clients to translate business needs into robust technical architectures.

The position requires 8+ years of experience with Databricks/Spark, SQL, Python/Scala, and strong data governance skills, with a hybrid work model in Pune.

Qualifications

• 10+ years of hands-on AWS/Azure/GCP experience.
• 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.

Responsibilities

• Lead data engineering teams and ensure timely delivery.
• Develop and optimize data pipelines using Databricks and cloud tools.
• Work with clients to translate business requirements into technical solutions.
• Ensure data quality, performance and governance standards.
• Support pre-sales and solutioning initiatives.
• Mentor team members and drive capability development.

Skills

Databricks

Spark

SQL

Python/Scala

Cloud platforms AWS/Azure/GCP

ETL/ELT pipelines

Data governance

Leadership

Team management

Education

B.Tech / BE in Computer Science or IT

Tools

Databricks

Snowflake

Airflow

CI/CD

DevOps

Job description

Job Title: Technology and Transformation - Engineering - Manager- Data Architect - Pune

Technology and Transformation - Engineering - Manager- Data Architect - Pune

Job requisition ID : 114136

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.

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.

• 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.


• 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/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