Technical Project Manager - Data and Databricks

Technical Project Manager – Data & Databricks

The Technical Project Manager – Data & Databricks is responsible for driving the day-to-day execution of complex data and Databricks engagements. This is a hands-on project leadership role for someone who combines strong project management discipline with deep experience delivering data, analytics, cloud, or data platform initiatives.

This person does more than manage a project plan. They understand the technical work being performed, can follow the details of architecture and engineering conversations, recognize dependencies and delivery risks, and ensure the team is following HIKE2's technical and project delivery playbooks.

The Technical Project Manager reports into the PMO and partners closely with Databricks architects, data engineers, technical leads, consultants, and client stakeholders.

What You'll Do:

• Own the day-to-day execution and operating rhythm of assigned Databricks and data projects.
• Own the connection between technical delivery, client priorities, and the business outcomes the platform is intended to enable.
• Maintain the Jira board as the source of truth for project execution, including backlog, stories, tasks, dependencies, blockers, owners, and status.
• Ensure work is appropriately defined, prioritized, assigned, estimated, and progressing through the delivery lifecycle.
• Run project ceremonies including stand-ups, planning, backlog reviews, status meetings, and retrospectives as appropriate.
• Produce and distribute the Weekly Pulse Report, clearly communicating progress, accomplishments, upcoming work, risks, decisions, dependencies, budget/burn, and items requiring attention.
• Maintain project plans, milestones, RAID logs, decisions, action items, resource plans, and other required PMO artifacts.
• Understand the technical delivery plan and ensure the team is following the established Databricks/data technical playbook.
• Track technical dependencies across data sources, environments, pipelines, integrations, architecture, security, testing, deployment, and client teams.
• Identify delivery risks early and drive issues to resolution rather than simply reporting status.
• Ensure client and HIKE2 stakeholders have clear visibility into project health, decisions, risks, and next steps.
• Partner with technical leads to translate technical work into an executable project plan and clear client communication.
• Escalate issues through the PMO and delivery leadership when additional support or decisions are required

This role requires meaningful experience with data and technical delivery. The Technical PM does not need to be the project's architect or lead engineer, but they must be technically fluent enough to understand what the team is building and how the pieces fit together.

They should be comfortable discussing and managing work involving:

• Databricks and modern data platforms, including how they support analytics, AI/ML, and GenAI workloads
• Data engineering and data pipelines
• ETL/ELT and data integration
• Data architecture and modeling
• Cloud data environments
• Source-to-target mapping and data migration
• Development, testing, deployment, and environment management
• Data quality, governance, security, and access
• Technical dependencies and integration points
• Agile technical delivery and engineering backlogs

The expectation is that this person can sit in a technical working session, understand what is being discussed, capture the implications for the project, ask intelligent questions, and translate the conversation into actions, risks, dependencies, and Jira work.

What Success Looks Like:

• Our team and our clients are able to effectively communicate with their teams about the value of the work and the timing of the deliverables.
• Jira accurately reflects the work being performed and provides a reliable view of project status.
• Weekly Pulse Reports are timely, concise, accurate, and give leadership and the client a clear picture of business outcomes and project health.
• Technical and business dependencies are identified before they become delivery problems.
• Risks and blockers are actively managed and escalated early.
• Project milestones, commitments, and deliverables are consistently…