Technical Project Manager - Databricks / Spark

Posted One Month Ago
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Zürich, CHE
In-Office
Expert/Leader
Information Technology • Professional Services • Consulting
The Role
Lead delivery of a Databricks-based data platform using Agile methodologies. Oversee pipelines, cluster usage, cost optimization, governance, and platform reliability. Coordinate engineering, architecture, analytics, and business stakeholders across Apache Spark, Delta Lake, and cloud environments. Translate requirements into delivery plans while managing risks, security, compliance, performance, and continuous improvement.
Summary Generated by Built In
We are seeking a highly skilled Technical Project Manager to lead the delivery of our client Applicative Platform, built on Databricks and Apache Spark. This role demands both technical fluency and project leadership, ideally with a background in cloud-native data platforms and Agile delivery. You will collaborate closely with platform engineers, architects, analysts, and stakeholders to ensure the successful and secure execution of a modern data platform.

THE ROLE
Agile Delivery: Manage delivery using Agile frameworks (Scrum/Kanban), drive sprints, retrospectives, backlog grooming, and iterative planning.
Databricks Program Oversight: Oversee pipeline execution, cluster usage, cost optimization, and platform governance within Databricks.
Technical Project Management: Coordinate cross-functional engineering teams using Apache Spark, Delta Lake, and cloud-native tooling (Azure/AWS).
Stakeholder Management: Act as the interface between business units and technical teams, translating requirements into actionable delivery plans.
Quality & Risk Management: Ensure deliverables meet high standards for performance, security, reliability, and governance.
Continuous Improvement: Identify and drive enhancements in delivery processes, platform scalability, and team collaboration.
Compliance Awareness: Understand and integrate data security, data governance, and regulatory best practices into delivery pipelines.


Requirements

10+ years of technical project management experience in enterprise or cloud-based environments

Proven experience managing projects on Databricks, ideally with exposure to Delta Lake, MLflow, and Unity Catalog

Solid grasp of Apache Spark concepts: job orchestration, DAGs, optimizations, cost-performance tradeoffs

Strong understanding of cloud platforms (Azure and/or AWS) and DevOps principles (CI/CD, IaC)

Demonstrated success delivering data platforms, data transformations, or cloud migrations

Skilled in stakeholder engagement, risk management, and Agile delivery

Exceptional communication skills – capable of simplifying complex technical concepts for business leaders



Skills Required

  • 10+ years of technical project management experience in enterprise or cloud-based environments
  • Experience managing projects on Databricks
  • Exposure to Delta Lake, MLflow, and Unity Catalog
  • Understanding of Apache Spark concepts, including job orchestration, DAGs, optimization, and cost-performance tradeoffs
  • Strong understanding of Azure and/or AWS cloud platforms
  • Understanding of DevOps principles, including CI/CD and Infrastructure as Code
  • Experience delivering data platforms, data transformations, or cloud migrations
  • Stakeholder engagement, risk management, and Agile delivery skills
  • Exceptional communication skills and ability to simplify complex technical concepts for business leaders
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The Company
HQ: Wollerau
45 Employees
Year Founded: 2019

What We Do

Avanda Solutions is a STEM professional services consultancy headquartered in Wollerau, Switzerland, serving enterprise clients across Switzerland and Europe. It helps organizations design, build, and scale complex technology initiatives across technology, life sciences, and engineering. Its offerings span strategic advisory, managed services, technology solutions—including cloud, data, custom software, and systems integration—and access to senior STEM professionals for large, mission-critical business transformations.

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