Technical Project Manager (Data Warehouse Exp.)

Role: Technical Project Manager (Data Warehouse Exp.)

Location: Atlanta, GA (Day 1 Onsite)

W2 Contract

Job Description:

• We are looking for a seasoned Technical Project Manager (onsite) with experience in data engineering, data warehousing, and Agile project management.
• The successful candidate will lead cross-functional teams of data engineers, business analysts, and database engineers to deliver complex data projects on time and within budget.
• The ideal candidate will have a strong technical background, excellent communication skills, and the ability to navigate complex technical and business requirements.

Responsibilities:

Project Planning and Execution:

• Develop and maintain project plans, timelines, and resource allocation plans for data engineering projects.
• Lead cross-functional teams to deliver projects on time and within budget.
• Coordinate with stakeholders to gather requirements and ensure project alignment with business objectives.

Technical Leadership:

• Provide technical guidance and oversight to data engineering teams, including database engineers, data analysts, and business analysts.
• Collaborate with data engineers to design and implement data warehousing solutions using Snowflake.
• Ensure data quality, security, and compliance with industry standards.

Agile Project Management:

• Apply Agile methodologies (Scrum, Kanban, etc.) to manage data engineering projects.
• Facilitate daily stand-ups, sprint planning, and retrospectives to ensure team alignment and progress.
• Monitor and report project velocity, burn-down charts, and other key metrics.

Stakeholder Management:

• Communicate project status, risks, and issues to stakeholders, including business leaders, product owners, and customers.
• Collaborate with stakeholders to gather requirements and ensure project alignment with business objectives.

Data Engineering Expertise:

• Stay up-to-date with industry trends and emerging technologies in data engineering.
• Collaborate with data engineers to design and implement data warehousing solutions using Snowflake.
• Ensure data quality, security, and compliance with industry standards.

Power BI and Reporting:

• Collaborate with data analysts to design and implement data visualizations using Power BI.
• Ensure data accuracy, completeness, and consistency

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