Scrum Master Lead

Job Title: Scrum Lead with Data Background

Location -Berkeley Heights, NJ (Fully Onsite)
Full-time / W2 - with Infinite Computer Solutions

Position Summary:

We are looking for a skilled and delivery-focused Scrum Lead with a strong background in data engineering to lead Agile teams working on modern data platform projects. The ideal candidate brings hands-on experience with tools such as Snowflake, Rocket ETL, and PySpark, and can effectively guide cross-functional teams through Agile delivery cycles. This role requires a balance of team facilitation, stakeholder coordination, and practical understanding of data engineering practices.

Required skillsets & Experience:

• 7+ years of experience in data engineering or analytics, with recent experience in a Scrum Master or Agile Lead role.
• Deep understanding of Agile/Scrum principles and frameworks.
• Strong working knowledge of:
• Snowflake (data warehousing, transformations, optimization)
• ETL/ELT tools preferably Rocket ETL, Qlik Replicate, or similar
• PySpark or other big data processing frameworks
• CI/CD practices for data pipelines
• Experience with tools like Jira, Confluence, or Azure DevOps.

Nice to Have / Preferred Skills:

• Scrum certifications (CSM, PSM I, SAFe Scrum Master, or equivalent).
• Experience integrating structured and semi-structured data sources, including REST APIs.
• Exposure to YugabyteDB or other distributed SQL databases.
• Familiarity with data governance, data quality frameworks, and normalization practices.
• Basic scripting knowledge in Python or Java to support data platform automation.

Key Responsibilities:

• Facilitate all Scrum ceremonies including sprint planning, daily stand-ups, retrospectives, backlog grooming, and sprint reviews.
• Act as a servant leader to one or more Agile teams delivering data integration, transformation, and reporting solutions.
• Work closely with Product Owners, Data Engineers, and Analysts to ensure clear backlog priorities and sprint commitments.
• Track team velocity, monitor sprint progress, and remove blockers to enable timely delivery.
• Promote Agile best practices and continuous improvement within the team.
• Ensure effective collaboration between data engineering, BI, and DevOps teams.
• Manage dependencies and risks associated with data pipelines, API integrations, and CI/CD processes.
• Maintain transparency with stakeholders through regular updates, dashboards, and reports.
• Support implementation of data governance, data modeling, and Snowflake optimization initiatives.