Lead end-to-end delivery of big data and analytics projects, including platform implementations, migrations, and optimizations
Define project scope, timelines, milestones, and deliverables
Develop and manage detailed project plans, ensuring on-time and within-scope delivery
Identify risks, dependencies, and constraints, and proactively drive mitigation strategies
Provide regular status updates to stakeholders and executive leadership
Serve as the technical liaison for data platform initiatives involving Databricks, Snowflake, or similar technologies
Collaborate with data engineers and architects to design scalable data pipelines and architectures
Oversee data ingestion, transformation (ETL/ELT), and storage strategies
Ensure adherence to best practices for performance optimization, cost management, and data governance
Validate technical solutions against business and functional requirements
Coordinate across data engineering, analytics, infrastructure, and business teams
Translate business needs into technical requirements and execution plans
Facilitate project meetings, sprint planning, and technical discussions
Manage third-party vendors and consulting partners as needed
Establish and maintain project governance, standards, and documentation
Ensure compliance with data security, privacy, and regulatory requirements
Support Agile, Waterfall, or hybrid delivery methodologies
Drive continuous improvement across data delivery processes

5+ years of experience in technical project management
Strong understanding of big data platforms (REQUIRED) such as: Databricks, Snowflake, Hadoop, Spark, or similar ecosystems
Experience managing large-scale data or analytics projects
Solid understanding of: Data pipelines (ETL/ELT)
Data warehousing and lakehouse architectures
Cloud environments (AWS, Azure, or GCP)
Ability to manage multiple workstreams and priorities in complex environments
Excellent communication, stakeholder management, and leadership skills

Big Data Technical Project Manager

Key skills