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

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

• 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

• 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 / Hyderabad

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