The Role
Lead end-to-end delivery of data-centric technical projects, coordinating engineering teams and business stakeholders. Manage planning, timelines, risks, resources, dependencies, and communications using Agile methodologies. Oversee ETL pipelines, data models, integrations, code reviews, and data engineering practices while translating business requirements into technical plans. Collaborate with Product, Data Science, DevOps, and QA teams, provide Python development or debugging support, and track project metrics and stakeholder reports.
Summary Generated by Built In
Job Title: Technical Project Manager
Experience Level: 10 - 20 years
Location: Hyderabad / Pune
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.
Skills Required
- Bachelor’s or master’s degree in computer science, information systems, engineering, or a related field
- 10+ years of experience in project management or technical leadership roles
- Strong understanding of modern data architectures, including data lakes, data warehousing, and streaming
- Experience with cloud platforms such as AWS, GCP, or Azure
- Familiarity with JIRA, Confluence, Git, and CI/CD pipelines
- Strong communication and stakeholder management skills
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The Company
What We Do
DATAECONOMY is a global, cloud-first data and AI consultancy delivering enterprise-grade solutions through an innovative intellectual-property suite. Its work spans data and BI platform modernization, self-service AI, data mesh and fabric, master data management, governance, cloud enablement, digital engineering, knowledge graphs, and machine lakes supporting cybersecurity and financial-crime use cases for enterprise clients.
