Big Data Technical Project Manager

Role Overview

We are seeking a Technical Project Manager with deep expertise in big data platforms to lead and deliver enterprise-scale data and analytics initiatives. This role requires a strong combination of technical fluency and project management leadership, with hands-on understanding of platforms such as Databricks, Snowflake, or similar modern data technologies.

The ideal candidate will be responsible for driving complex data projects from concept through execution, ensuring alignment across engineering, analytics, and business teams while maintaining high standards of performance, scalability, and delivery.

Key Responsibilities

Project Leadership

• 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

Technical Oversight (Big Data Platforms)

• 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

Cross-Functional Coordination

• 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

Governance & Delivery Excellence

• 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

Required Qualifications

• 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

Preferred Qualifications

• Experience with Delta Lake, data lakehouse architecture, or real-time streaming
• Familiarity with orchestration tools (Airflow, Azure Data Factory, etc.)
• Knowledge of data governance, data quality, and metadata management frameworks
• Certifications such as PMP, Scrum Master, Databricks, or Snowflake certifications
• Experience in enterprise or regulated environments

What Success Looks Like

• Data initiatives are delivered on time, within scope, and with measurable business impact
• Data platforms are scalable, efficient, and aligned with enterprise strategy
• Stakeholders are engaged, informed, and confident in delivery progress
• Risks and dependencies are proactively managed