Technical Project Manager Data Engineering - R01554097

Technical Project Manager Data Engineering

Bangalore, Karnataka, India

AI & Data Engineering : Data Engineering

Employee / Hybrid

Primary Skills

• Revenue Forecasting, SOW creation and scope tracking, P&L Management, Program Management, People Management, Project Analytics, Escalation Management

Specialization

• Delivery Management: Project Manager

Job Requirements

• We are seeking a Technical Project Manager (PM) to lead and manage an end-to-end data modernization and application development initiative.
• The role requires a blend of project management expertise, technical acumen, and the ability to work closely with cross-functional teams to deliver scalable, high-quality solutions.
• Project Leadership & Delivery Lead the planning, execution, and delivery of data modernization and application development projects.
• Define project scope, goals, deliverables, and timelines in collaboration with stakeholders.
• Manage project budgets, schedules, and resource allocation.
• Drive Agile/Scrum ceremonies and ensure timely delivery of sprints/releases.
• Technical Oversight Understand and oversee the architecture and technical design of data pipelines, cloud infrastructure, and application components.
• Collaborate with data engineering, application development, and DevOps teams to ensure technical feasibility.
• Ensure best practices in data governance, security, and compliance.
• Stakeholder Management Serve as the primary point of contact for business and technical stakeholders.
• Communicate project status, risks, and dependencies clearly and proactively.
• Facilitate decision-making and resolve conflicts to keep the project on track.
• Risk & Quality Management Identify risks early and develop mitigation plans.
• Monitor project quality through reviews, testing, and validation processes.
• Ensure adherence to industry standards, cloud best practices, and organizational policies.
• Good understanding of cloud platforms (AWS preferred) and services relevant to data modernization (e.g., S3, Redshift, Glue, Lake Formation, EMR, Athena).
• Familiarity with data engineering concepts (ETL, ELT, data lakes, data warehousing, streaming).
• Awareness of DevOps practices and CI/CD tools (e.g., CodePipeline, Jenkins, GitHub Actions).
• Knowledge of application development technologies (Java, .NET, Python, or modern frameworks).
• Project Management Skills ********* 5+ years of experience in managing large-scale IT projects, ideally involving both data and application streams.
• Strong experience with Agile/Scrum and hybrid delivery models.
• Proficiency in project management tools (Jira, Confluence, MS Project, or equivalent).
• Strong analytical, problem-solving, and organizational skills.
• Soft Skills *********** Excellent communication and stakeholder management abilities.
• Ability to bridge business needs with technical solutions.
• Strong leadership skills with a collaborative approach.