Technical Project Manager

As a Technical Project Manager, you will lead the planning, execution, and delivery of complex technology projects while ensuring alignment with organizational objectives. You will act as a strategic bridge between technical teams and business stakeholders, driving cloud, data, and analytics initiatives across AWS, Azure, Snowflake, Databricks, and related platforms. This role requires strong leadership, architectural understanding, cloud expertise, and the ability to guide high-performing teams in a fast-paced environment.

8+ years of experience in a Product or Service-based IT organization.

• End-to-End Project Management:

  Lead projects through the complete lifecycle, delivering scalable cloud and data solutions.
• Drive techno-functional execution for cloud migration, data engineering, BI/analytics, and platform modernization initiatives.

• Methodology Expertise:

  Apply Agile, PMP, and other frameworks to ensure effective project execution and resource management.

• Cloud & Technology Integration:

  Oversee integration of AWS, Azure, Snowflake, Databricks, and cloud-native services.
• Ensure architecture and design align with business strategy, performance needs, and security standards.
• Provide direction on cloud adoption, data engineering best practices, and modernization frameworks.

• Stakeholder & Conflict Management:

  Manage relationships with customers, partners, and vendors while proactively addressing expectations and conflicts.

• Technical Guidance:

  Guide solution architecture, design reviews, and technical feasibility assessments.
• Provide hands-on support in areas such as data modeling, cloud architecture, SQL tuning, and BI solution reviews.

• Change & Scope Management:

  Analyze change requests and new requirements to ensure alignment with project goals and cloud platform capabilities.

• Effort & Cost Estimation:

  Estimate resources, costs, and cloud infrastructure consumption across AWS and Azure.

• Risk Mitigation:

  Proactively identify, track, and mitigate project risks, escalating issues early.

• Hands-On Contribution:

  Participate in coding, code reviews, testing, and documentation when required.

• Project Planning & Monitoring:

  Develop detailed project plans, track progress, and monitor task dependencies.

• Communication & Reporting:

  Communicate effectively with stakeholders on scope, timelines, and objectives.
• Provide regular status and RAG reports, proactively addressing risks and issues.

• Performance Measurement:

  Measure project performance using appropriate tools and techniques.

• Operational Process Management:

  Oversee timesheet approvals, appraisals, invoicing, and project documentation.

• Data & BI Technologies:

  Proficiency in SQL & PL/SQL; strong understanding of data warehousing, dimensional modeling, and data lake/lakehouse architectures.
• Experience with BI tools such as Power BI, Tableau, and Qlik Sense/View.
• Familiarity with platforms like Oracle, Informatica, SAP BO, BODS, and BW.

• Cloud & Data Engineering:

  Strong expertise in AWS (EC2, S3, Lambda, Glue, Redshift), Azure (Data Factory, Synapse, Databricks, ADLS), Snowflake, and Databricks.
• Experience with cloud-based ETL/ELT pipelines, orchestration, and workflow automation.

• Programming:

  Hands-on experience in Python or similar scripting languages for data processing and automation.

• Soft Skills:

  Strong leadership, communication, problem-solving, and decision-making abilities.
• Ability to manage ambiguity and handle multiple priorities effectively.

• Cloud:

  AWS, Azure

• Data Platforms:

  Snowflake, Databricks

• BI Tools:

  Power BI, Tableau, Qlik

• Data Management:

  Oracle, Informatica, SAP BO

• Project Tools:

  JIRA, MS Project, Confluence

• ME / MTech / BE / BTech in Computer Science, Information Technology, Engineering, or a related field.