Technical Project Manager

Inteliment; Pune District; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Inteliment in Pune is seeking an senior- level End-to-End Project Manager to lead cloud and data solutions projects from inception to delivery. You will drive techno-functional execution across cloud migration, data engineering, and analytics, while aligning architecture with business goals.

The role requires strong leadership, stakeholder coordination, and hands-on contribution in architecture reviews, SQL tuning, and BI solution assessments.

Qualifications

• Proficiency in SQL & PL/SQL for database querying and optimization.
• Understanding of data warehousing concepts, dimensional modeling, and data lake/lakehouse architectures.
• Experience with BI tools such as Power BI, Tableau, Qlik Sense/View.
• Familiarity with traditional platforms like Oracle, Informatica, SAP BO, BODS, BW.

Responsibilities

• 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 projects.
• Apply Agile, PMP, and other frameworks to ensure effective project execution and resource management.
• Oversee integration of AWS, Azure, Snowflake, Databricks, and other cloud-native services.
• Guide solution architecture, design reviews, and technical feasibility assessments.
• Develop detailed project plans, track progress, and manage task dependencies.

Skills

Leadership

Stakeholder management

Agile

PMP

Project planning

Communication

Risk management

Cloud project management

Tools

JIRA

MS Project

Confluence

Power BI

Tableau

Qlik Sense/View

Oracle

Informatica

SAP BO

BODS

BW

Job description

Role & responsibilities

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 projects.

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 other 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.
• Oversee technology integration and ensure alignment with business goals.
• Stakeholder & Conflict Management: Manage relationships with customers, partners, and vendors, addressing expectations and conflicts proactively.

Technical Guidance:

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

Change & Scope Management:

• Analyze change requests and new requirements, ensuring alignment with project goals and cloud platform capabilities

Effort & Cost Estimation:

• Estimate costs, resources, and cloud infrastructure consumption (AWS/Azure). Identify, track, and mitigate project risks early.

Risk Mitigation:

• Proactively identify risks and develop mitigation strategies, escalating issues in advance.

Hands-On Contribution:

• Participate in coding, code reviews, testing, and documentation as needed. Project Planning & Monitoring: Develop detailed project plans, track progress, and monitor task dependencies.

Effective Communication:

• Communicate with stakeholders to ensure agreement on scope, timelines, and objectives.

Reporting:

• Provide status and RAG reports, proactively addressing risks and issues.

Performance Measurement:

• Measure project performance with tools and techniques to ensure progress.

Operational Process Management:

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

Preferred candidate profile

Technical Skills Data & BI Technologies :

Proficiency in SQL & PL/SQL for database querying and optimization.

Understanding of data warehousing concepts, dimensional modeling, and data lake/lakehouse architectures.

Experience with BI tools such as Power BI, Tableau, Qlik Sense/View.

Familiarity with traditional platforms like Oracle, Informatica, SAP BO, BODS, BW.

Cloud & Data Engineering :

• Strong knowledge of AWS (EC2, S3, Lambda, Glue, Redshift), Azure (Data Factory, Synapse, Databricks, ADLS),Snowflake (warehouse architecture, performance tuning), and Databricks (Delta Lake, Spark).
• Experience with cloud-based ETL/ELT pipelines, data ingestion, orchestration, and workflow automation.
• Programming Hands-on experience in Python or similar scripting languages for data processing and automation.

Soft Skills

• Strong leadership and team management skills.
• Excellent verbal and written communication for stakeholder alignment.
• Structured problem-solving and decision-making capability.
• Ability to manage ambiguity and handle multiple priorities.

Tools & Platforms

• 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 (recommended additions if you want)