Technical Delivery Manager

Syren; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Syren is seeking a Delivery Manager with deep data engineering expertise to drive end-to-end delivery of data platforms on Azure and Databricks. The role requires guiding large-scale initiatives, ensuring delivery excellence, and providing technical oversight across Python and Spark-based solutions.

You will own delivery governance, mentor data engineering teams, and collaborate with stakeholders to translate requirements into scalable data pipelines using Databricks, PySpark, Python, and Spark.

Qualifications

• Experience leading end-to-end data engineering delivery programs.
• Proven ability to translate business requirements into scalable data solutions.
• Strong leadership and mentoring capabilities for data engineering teams.

Responsibilities

• 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

Skills

Delivery management

Stakeholder management

Agile execution

Leadership

Tools

Databricks

PySpark

Python

Spark

Azure Data Services (ADF/ADLS/Synapse)

Job description

Job Summary

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

Delivery Manager – Data Engineering

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.

Job Summary

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.

Roles & Responsibilities

• 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, and Agile execution