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

Deloitte US | Together Makes Progress
Pune, IND
Director · 10+ years experience
Hybrid
Discovered 1 weeks ago
awsazuredatabricksgcppythonscala

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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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