Technical Delivery Manager

Syren Cloud Inc.; Hyderabad; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Syren Cloud Inc. is looking for a skilled Delivery Manager specializing in data engineering to lead end-to-end delivery of data platforms utilizing Azure and Databricks. The ideal candidate will oversee large-scale data initiatives, ensuring alignment with business goals and adhering to delivery excellence standards.

The position entails driving execution across data initiatives, utilizing technologies like Python and Spark, and mentoring teams towards achieving high performance. Strong experience in Agile methodologies and stakeholder management is essential.

Qualifications

• 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.

Responsibilities

• Own end-to-end delivery of data engineering programs.
• Drive execution across multiple data initiatives within Azure and Databricks environments.
• Provide technical leadership in designing and implementing scalable data pipelines.
• Collaborate with stakeholders to translate requirements into data solutions.
• Ensure adoption of Agile practices including sprint planning and tracking.
• Establish governance frameworks and manage risks effectively.
• Communicate project progress, risks, and outcomes to stakeholders.
• Lead, mentor, and guide data engineering teams.

Skills

Databricks

PySpark

Python

Spark

Azure Data Services

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, and Agile execution