Technical Delivery Manager

Staffington Global; Chennai District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Staffington Global is seeking a Delivery Manager with strong data engineering expertise to drive end-to-end data platform delivery using Azure and Databricks. The role emphasizes leadership of large-scale data initiatives, delivery excellence, and technical oversight across Python and Spark-based solutions.

You will own delivery, coordinate across Azure Databricks environments, and mentor data engineering teams while aligning with business goals and timelines in a dynamic, agile setting.

Qualifications

• Experience leading data engineering programs and delivery ownership.
• Strong stakeholder management and cross-functional leadership.
• Proven ability to design and implement scalable data pipelines and governance.

Responsibilities

• Own end-to-end delivery of data engineering programs, aligning with goals and quality standards.
• Drive execution across data initiatives in Azure and Databricks environments.
• Provide technical leadership in designing Python, PySpark, and Spark data solutions.
• Collaborate with stakeholders, engineers, and architects to translate requirements into data solutions.
• Ensure adoption of Agile practices including sprint planning, tracking, and continuous improvement.
• Establish governance frameworks, manage risks, and ensure best practices in data engineering.
• Communicate project progress, risks, and outcomes to stakeholders.
• Lead, mentor, and guide data engineering teams toward high performance and delivery excellence.

Skills

Delivery management

Stakeholder management

Team management

Agile execution

Tools

Databricks

PySpark

Python

Spark

Azure Data Services (ADF, ADLS, Synapse)

Job description

We are seeking a Delivery Manager with strong expertise in data engineering to drive end-to-end delivery of data platforms using Azure and Databricks. The role focuses on leading large-scale data initiatives, ensuring delivery excellence, and providing technical oversight across Python and Spark-based data solutions.

• Own end-to-end delivery of data engineering programs ensuring alignment with business goals, timelines, and quality standards
• Drive execution across multiple data initiatives within Azure and Databricks environments
• Provide technical leadership in designing and implementing scalable data pipelines using Python, PySpark, and Spark
• Collaborate with business stakeholders, data engineers, and architects to translate requirements into efficient data solutions
• Ensure adoption of Agile practices including sprint planning, tracking, and continuous improvement
• Establish governance frameworks, proactively manage risks, and ensure adherence to data engineering best practices
• Communicate project progress, risks, and outcomes effectively to stakeholders
• Lead, mentor, and guide data engineering teams towards high performance and delivery excellence

Required Skills

• Strong experience with Databricks, PySpark, Python, and Spark
• Expertise in Azure Data Services including ADF, ADLS, and Synapse
• Proven experience in delivery management, stakeholder management, Team Management and Agile execution.