Job Description:
• Lead Agile ceremonies including sprint planning, backlog refinement, daily standups, reviews, and retrospectives
• Establish and manage project plans, timelines, risks, dependencies, and deliverables across data initiatives
• Collaborate closely with data engineers, architects, analysts, and business stakeholders
• Oversee development workflows within the Databricks environment and ensure adherence to data engineering best practices
• Facilitate cross-functional communication and resolve blockers to maintain project momentum
• Drive standardization and governance across data processes, documentation, and quality checks
• Coordinate releases, manage sprint metrics, and report project status to leadership
• Support data strategy execution and assist teams in aligning architecture and solutions with long-term objectives
• Manage team capacity, priorities, and work assignments within data-focused projects.
Requirements:
• 7+ years of experience as a Scrum Master, Project Manager within the data or cloud domain
• Strong experience supporting data engineering, data analytics, or data platform teams
• Hands-on experience with DataBricks workflows and pipeline management
• Solid understanding of AWS services such as S3, Glue, Lambda, EMR, Redshift, or related data components
• Experience managing teams working within a Databricks environment
• Strong understanding of data strategy, data management, ETL processes, and cloud-based data architectures
• Proven ability to manage stakeholders, run Agile processes, and deliver complex technical projects
• Certifications such as CSM, PMP, PMI-ACP, or cloud/data certifications are a plus
• Excellent communication, leadership, and problem-solving skills.
Benefits:
Apply Now
Apply Now