Project Manager with expertise in data warehousing and integration, focusing on Databricks and Azure solutions. Leading project teams to deliver scalable data solutions aligned with business goals.
Responsibilities
Lead end-to-end project management for data hub implementations, ensuring alignment with business goals and technical requirements.
Oversee data integration efforts across multiple systems and platforms, with a focus on cloud-based solutions.
Manage stakeholder communications, project timelines, budgets, and resource allocation.
Collaborate with data engineers, architects, and business analysts to ensure successful delivery of data warehousing solutions.
Drive adoption and optimization of Databricks within the data ecosystem.
Ensure compliance with data governance, security, and privacy standards.
Identify risks and develop mitigation strategies throughout the project lifecycle.
Requirements
5+ years of experience in project management, specifically in **data warehousing** and **data integration** projects.
Proven experience implementing **data hubs** or centralized data platforms.
Strong familiarity with **Databricks** and **Azure Data Services** (e.g., Azure Data Lake, Azure Synapse, Azure Data Factory).
Solid understanding of ETL/ELT processes, data modeling, and cloud architecture.
Excellent communication, leadership, and stakeholder management skills.
PMP, PMI-ACP, or similar certification is a plus.
**Preferred Skills:**
Experience with Agile or hybrid project methodologies.
Background in enterprise analytics or BI platforms.
Familiarity with data governance frameworks and tools.
Job title
Senior Project Manager – Data Hub & Integration, Databricks, Azure
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