Technical Program Manager

Role Overview

• Lead and manage end-to-end technical projects related to data platforms, ETL processes, data migrations, and system integrations, ensuring alignment with business objectives and project timelines.
• Oversee data warehousing, data lake, and big data platform projects in multi-data-center and cloud-based environments, coordinating the efforts of data engineers, data modelers, and database administrators.
• Ensure the design, development, and implementation of data models (conceptual, logical, and physical), ETL pipelines, and database systems meet business requirements and industry best practices.
• Manage project scope, timelines, risks, and budgets while ensuring timely project delivery and maintaining quality standards.
• Collaborate with cross-functional teams, including data architects, developers, QA engineers, and business analysts, to drive project success and address technical challenges.
• Lead project planning sessions, develop detailed project plans, and monitor progress to ensure timely delivery of technical solutions.
• Facilitate regular communication with stakeholders, providing updates on project milestones, issues, and resolutions, and ensuring alignment on objectives.
• Implement best practices for data governance, metadata management, and data security across projects.
• Troubleshoot project-level technical issues, and provide guidance to resolve complex data, ETL, and system-related challenges.
• Drive continuous improvement efforts in project management processes, technical architecture, and team collaboration.

Requirements

• 7+ years of experience in managing technical projects within data engineering, data modeling, or data warehousing environments.
• Strong hands-on technical background with expertise in RDBMS, NoSQL, data warehouses, data lakes, and ETL processes.
• Experience with data platform migrations, including transitioning from on-premise to cloud-based solutions like AWS Redshift, Snowflake, or similar technologies.
• Proven experience working with metadata management, data modeling tools (Erwin, ER Studio, etc.), and database design principles.
• Proficiency in performance tuning for data pipelines, databases, and application queries.
• Solid understanding of project management methodologies (Agile, Scrum, or Waterfall) and best practices.
• Demonstrated ability to lead cross-functional teams and manage complex projects with multiple stakeholders.
• Strong problem-solving skills with the ability to troubleshoot and resolve technical issues related to data platforms, ETL pipelines, and SQL/PL-SQL scripts.
• Excellent communication and interpersonal skills, with the ability to clearly convey technical information to both technical and non-technical stakeholders.

Tech Stack

• Amazon Redshift
• AWS
• Cloud
• ETL
• NoSQL
• RDBMS
• SQL