Project Manager - Snowflake

Yash Technologies

Pune District

In loco

INR 3.000.000 - 5.000.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

YASH Technologies, Inc. in Pune, India is seeking an experienced Technical Project Manager to lead end-to-end delivery of Enterprise Data Warehouse (EDW), Data Lakehouse, Cloud Migration, and Data Platform Modernization initiatives.

The candidate will manage complex data programs with hands-on understanding of Snowflake, Microsoft Fabric, SQL Server, data warehousing, ETL/ELT, data integration, cloud platforms, and lakehouse architectures. Strong leadership and governance skills are essential.

Competenze

Extensive experience leading end-to-end EDW and data modernization programs.
Hands-on understanding of Snowflake, SQL Server, Data Warehouse and Lakehouse architectures.
Strong stakeholder management, delivery governance, risk management, and team leadership.

Mansioni

Lead end-to-end delivery of EDW, Data Warehouse, Data Lakehouse, Cloud Migration, and Data Modernization projects.
Own project planning, estimation, scheduling, resource planning, execution, monitoring, and delivery.
Coordinate design reviews and ensure alignment with enterprise architecture standards.
Coordinate cloud migration strategies including rehost, replatform, refactor, and modernization efforts.
Serve as primary liaison between business stakeholders, technology teams, vendors, and leadership.
Drive Agile/Hybrid governance, sprint planning, and progress tracking using Azure DevOps/Jira.

Conoscenze

Technical Project Management

EDW & Data Modernization

Snowflake

Data Lakehouse

Cloud Migration

Stakeholder Management

Agile Delivery

Leadership

Strumenti

Azure DevOps

Jira

Microsoft Fabric

SQL Server

Descrizione del lavoro

We are looking forward to hire SnowFlake Professionals in the following areas :

Technical Project Manager - EDW / Data Modernization

Experience: 12+ Years Role: Technical Project Manager - Enterprise Data Warehouse (EDW) Domain: Data Analytics / Cloud Data Platform / EDW Modernization Key Technologies: Snowflake, Microsoft Fabric, SQL Server, Data Warehouse, Lakehouse, Cloud Migration Modernization

Job Summary

We are looking for an experienced Technical Project Manager to lead end-to-end delivery of Enterprise Data Warehouse (EDW), Data Lakehouse, Cloud Migration, and Data Platform Modernization initiatives.

The ideal candidate should have strong experience managing complex enterprise data projects with hands-on understanding of Snowflake, Microsoft Fabric, SQL Server, data warehousing, ETL/ELT, data integration, cloud platforms, and modern lakehouse architectures .

The role requires a combination of technical understanding, project/program management, stakeholder management, delivery governance, risk management, and team leadership . The candidate will work closely with business stakeholders, architects, data engineers, analysts, infrastructure/cloud teams, and application teams to successfully deliver large-scale data transformation programs.

Key Responsibilities

1. Project Program Management

Lead end-to-end delivery of EDW, Data Warehouse, Data Lakehouse, Cloud Migration, and Data Modernization projects .
Own project planning, estimation, scheduling, resource planning, execution, monitoring, and delivery.
Define and manage project scope, milestones, dependencies, timelines, budget, risks, and deliverables.
Develop detailed project plans and track progress against agreed milestones.
Manage multiple workstreams involving data ingestion, data transformation, data migration, reporting, analytics, testing, and production deployment .
Identify project risks, issues, dependencies, and bottlenecks and drive appropriate mitigation plans.
Conduct regular project governance meetings, status reviews, steering committee meetings, and stakeholder communications.
Track project KPIs and provide clear status reporting to senior management and business stakeholders.
Ensure delivery within agreed scope, schedule, budget, quality, and governance standards .

2. EDW Data Platform Delivery

Manage implementation and modernization of Enterprise Data Warehouse platforms using Snowflake, Microsoft Fabric, and SQL Server .
Coordinate design and implementation of modern Data Warehouse and Lakehouse architectures .
Manage migration of legacy/on-premises data warehouse workloads to modern cloud-based data platforms.
Drive initiatives related to:
- EDW modernization
- Cloud data migration
- Data warehouse migration
- Data Lakehouse implementation
- Legacy platform modernization
- Data integration and consolidation
- ETL-to-ELT modernization
- Reporting and analytics migration
Coordinate source-to-target analysis, data mapping, ingestion, transformation, reconciliation, and validation activities.
Ensure migration strategies address data completeness, reconciliation, performance, security, scalability, and business continuity .

3. Technical Leadership Coordination

Work closely with Solution Architects, Data Architects, Data Engineers, DBAs, BI Developers, DevOps Engineers, Security Teams, and Business Analysts .
Facilitate technical discussions around architecture, integration, migration strategy, performance, scalability, security, and deployment.
Understand and challenge technical estimates, solution approaches, dependencies, and delivery plans.
Coordinate technical design reviews and ensure solutions align with enterprise architecture standards.
Support architecture decisions related to:
- Snowflake
- Microsoft Fabric
- SQL Server
- Data Warehouse
- Data Lake / Lakehouse
- ETL/ELT
- Batch and incremental data processing
- Cloud storage
- Data pipelines
- Reporting and analytics platforms
Ensure effective collaboration between onshore/offshore and cross-functional technology teams.

4. Cloud Migration Modernization

Lead planning and execution of on-premises to cloud data platform migration programs .
Coordinate legacy system assessment and workload discovery.
Support migration planning including rehost, replatform, refactor, and modernization approaches , as applicable.
Establish migration waves based on business criticality, technical dependencies, data volumes, and implementation risk.
Manage migration activities including:
- Data transfer
- Schema migration
- ETL/ELT migration
- Data validation
- Performance testing
- User acceptance testing
- Cutover
- Hypercare
Coordinate cutover and rollback planning to minimize business disruption.

5. Stakeholder Management

Act as the primary point of contact between business stakeholders, technology teams, vendors, and senior leadership .
Translate business requirements into actionable technology delivery plans.
Manage stakeholder expectations around project timelines, scope, risks, dependencies, and delivery commitments.
Present project status, technical challenges, risk assessments, and recommendations to senior leadership.
Drive timely decision-making and resolution of cross-team dependencies.
Build strong working relationships with customers, product owners, architects, engineering teams, and external partners.

6. Agile Delivery Governance

Manage projects using Agile, Scrum, Waterfall, or Hybrid delivery methodologies depending on the engagement.
Drive sprint planning, backlog management, release planning, dependency management, and delivery tracking.
Work closely with Product Owners and Business Analysts to ensure backlog readiness.
Track deliverables using tools such as Azure DevOps, Jira, or similar project management platforms .
Maintain project governance artifacts including:
- Project plan
- RAID log
- RACI matrix
- Dependency tracker
- Decision log
- Resource plan
- Release plan
- Status reports
- Budget/effort tracking