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

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft; Pune District; Hybrid; INR 3,500,000 - 5,200,000; Full time

Job summary

Deloitte Touche Tohmatsu India LLP in Pune seeks an Associate Director- Data Architect to lead data architecture and cloud integration initiatives. You will design scalable data platforms, guide analytics projects, and collaborate with clients to translate business needs into robust data solutions.

The role requires 8+ years in data engineering, strong Databricks, Snowflake, Spark and Python/Scala skills, and hands-on AWS/Azure/GCP experience. Hybrid work with 3 days on client site.

Qualifications

• 8+ years in design and implementation of scalable cloud-based data solutions.
• Lead data engineering teams and ensure timely delivery.
• Develop and optimize data pipelines using Databricks and cloud tools.
• Translate business requirements into technical data solutions.
• Ensure data quality, performance and governance standards.

Responsibilities

• Lead data engineering teams and ensure timely delivery.
• Work closely with clients to translate business requirements into technical solutions.
• Develop and optimize data pipelines using Databricks and cloud tools.
• Mentor and develop capabilities within the team.
• Ensure data quality, governance, and performance standards.

Skills

Databricks

Snowflake

Spark

Big data processing

SQL

Python/Scala

ETL/ELT pipelines

Cloud platforms (AWS/Azure/GCP)

Data governance

Airflow

CI/CD for data pipelines

Education

B.Tech / BE in Computer Science or IT

Tools

Airflow

Databricks

Snowflake

Spark

Job description

Job Title: Technology and Transformation - Engineering - Associate Director- Data Architect - Pune

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.

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 + 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