Technical Project Manager

1 week ago


Anywhere in IndiaMultiple Locations Symphoni HR Full time

Job Description:

The perfect fit for this position would be a seasoned IT expert with vast experience in leading data and analytics programs and technical projects.

They should be skilled at guiding large-scale legacy EDW/data platform modernization and migration initiatives to cloud platforms like Snowflake, Databricks, or other similar solutions.

Here's a breakdown of the qualifications and responsibilities:



Experience:
  • Over 15 years of IT experience.
  • Extensive experience in overseeing technical aspects of data and analytics programs.

Legacy EDW/Data Platform Modernization:
  • Led a minimum of three major legacy EDW/data platform modernization and migration projects to Snowflake, Databricks, or other cloud platforms in the past five years.

Project/Program Lifecycle Management:
  • Skilled in managing all stages of project/program life cycles, from strategy and architecture to development and implementation for complex projects.

Program Planning and Execution:
  • Proficient in end-to-end program planning and execution.

Client Facing and Technical Leadership:
  • Ability to engage with clients, provide technical guidance to the team, and lead technical reviews.
  • Conduct technical and architecture reviews with client stakeholders.
  • Utilization of accelerators and assets for engagements.

Risk Management:
  • Identify and address technical delivery risks.

Collaboration and Stakeholder Management:
  • Work effectively with technical and business users, partners, and stakeholders to deliver quality outcomes for data modernization projects.

Team Leadership:
  • Experience in leading teams of up to 50 members.

Certifications:
  • Certified on at least one data platform (Snowflake or Databricks).
  • Hold at least one hyperscaler/cloud certification.

DataOps Experience:
  • Desirable experience in DataOps, focusing on efficient and automated data pipeline approaches.
  • This candidate should bring a wealth of experience, technical skills, leadership qualities, and the ability to navigate complex data projects.


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