Technical Project Manager

DATAECONOMY; Hyderabad; Hybrid; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Comprehensive Medical Coverage

Robust Protection Plans

Retirement Benefits

Flexible Work Options

Generous Leave Policy

Employee Well-being Spaces

Job summary

DATAECONOMY is looking for a Technical Project Manager in Hyderabad/Pune to lead the delivery of data-centric projects. Candidates should have 10+ years in project management, experience with cloud platforms like AWS, and a strong understanding of data architectures. The role involves leading teams, managing risks, and ensuring stakeholder communications in a hybrid work environment. Benefits include comprehensive medical coverage, insurance, and a generous leave policy.

Qualifications

• 10+ years of experience in project management or technical leadership roles.
• Strong understanding of modern data architectures like data lakes and warehousing.
• Experience with cloud platforms such as AWS, GCP, or Azure.

Responsibilities

• Lead project management for data-driven initiatives including planning and execution.
• Manage timelines, risks, resources, and dependencies using Agile methodologies.
• Collaborate with cross-functional teams including Product, Data Science, and QA.

Skills

Project Management

Stakeholder Management

Data Architecture

Cloud Platforms

Agile Methodologies

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

JIRA

Confluence

Git

CI/CD Pipelines

Job description

Job Title: Technical Project Manager
Experience Level: 10 - 20 years
Location: Hyderabad / Pune

Qualification: BTech/MTech/MCA
Mode of Work: Hybrid

We are seeking a Technical Project Manager to lead and coordinate the delivery of data-centric projects. This role bridges the gap between engineering teams and business stakeholders, ensuring the successful execution of technical initiatives, particularly in data infrastructure, pipelines, analytics, and platform integration.

Responsibilities

• Lead end-to-end project management for data-driven initiatives, including planning, execution, delivery, and stakeholder communication.
• Work closely with data engineers, analysts, and software developers to ensure technical accuracy and timely delivery of projects.
• Translate business requirements into technical specifications and work plans.
• Manage project timelines, risks, resources, and dependencies using Agile, Scrum, or Kanban methodologies.
• Drive the development and maintenance of scalable ETL pipelines, data models, and data integration workflows.
• Oversee code reviews and ensure adherence to data engineering best practices.
• Provide hands-on support when necessary, in Python-based development or debugging.
• Collaborate with cross‑functional teams including Product, Data Science, DevOps, and QA.
• Track project metrics and prepare progress reports for stakeholders.

Requirements

• Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or related field.
• 10+ years of experience in project management or technical leadership roles.
• Strong understanding of modern data architectures (e.g., data lakes, warehousing, streaming).
• Experience working with cloud platforms like AWS, GCP, or Azure.
• Familiarity with tools such as JIRA, Confluence, Git, and CI/CD pipelines.
• Strong communication and stakeholder management skills.

Benefits

• Comprehensive Medical Coverage: Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
• Robust Protection Plans: Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
• Retirement Benefits: PF and Gratuity provided as per standard government regulations.
• Flexible Work Options: Enjoy hybrid work arrangements & flexible working hours.
• Generous Leave Policy: 21 days of annual leave, in addition to 10 company‑declared holidays.
• Employee Well‑being Spaces: Access to a dedicated break‑out area with round‑the‑clock refreshments for relaxation and rejuvenation.