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Data Platform Owner Databricks (a), 80-100%

Bachem bachem.com Open
Bubendorf Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Bachem. Bubendorf.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationBubendorf
PostedSep 29, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set the Databricks platform’s direction and oversee its design, daily running, security, compliance, spending and roadmap
  • Move the lakehouse into production on AWS with GxP qualification and consistent development, test and production setups
  • Set standards for Unity Catalog, workspaces, compute, networking, data layers, infrastructure code and CI/CD
  • Create repeatable ingestion and integration approaches for SAP, MES, LIMS and other listed systems
  • Maintain GxP controls and platform operations, while managing costs, vendors, onboarding and self-service support

What you bring

  • At least five years in data platform engineering or ownership, including three years running Databricks in production
  • Practical command of Unity Catalog, Delta Lake, workspace administration, clusters, jobs and Databricks SQL
  • Experience operating Databricks on AWS, with knowledge of IAM, VPC, S3 and KMS
  • Understanding of GxP in regulated settings, including GAMP 5, ALCOA+ and the other listed standards
  • Experience with infrastructure code and CI/CD, using Terraform, GitHub Actions or another listed tool

Who this fits

This role suits someone who can own a production Databricks platform and explain technical trade-offs to business, quality and leadership stakeholders. The position is based in Bubendorf, Switzerland, and is offered at 80-100%.

From the employer

To drive our continuous organic growth, we are constantly looking for highly qualified professionals. To strengthen our team in Global IT, we are looking for a Data Platform Owner Databricks (a), 80-100%

Your tasks:

  • Own the Databricks platform end to end, including strategy, architecture, operations, security, compliance, cost, and roadmap
  • Lead the transition to a production-grade, GxP-qualified lakehouse on AWS, including standardized Dev/Test/Prod environments
  • Define platform architecture and standards for Unity Catalog, workspaces, compute, networking, data layers, Infrastructure as Code, and CI/CD
  • Establish scalable data ingestion and integration patterns for systems such as SAP, MES, LIMS, eQMS, and ELN
  • Ensure GxP compliance, platform qualification, data integrity (ALCOA+), audit readiness, access control, change control, and backup/recovery
  • Manage day-to-day platform operations, including monitoring, incident, problem, change, release, security, and access management
  • Drive FinOps and vendor management, ensuring cost transparency, optimization, licensing, support, and effective partner collaboration
  • Enable self-service data capabilities through guardrails, onboarding, documentation, and a community of practice, while coordinating internal and external platform resources

Your profile:

  • 5+ years of experience in data platform engineering or ownership, including 3+ years managing Databricks in production end to end
  • Strong hands-on expertise in Unity Catalog, Delta Lake, workspace administration, cluster/job management, and Databricks SQL
  • Experience running Databricks on AWS, with solid knowledge of IAM, VPC, S3, and KMS
  • Good understanding of GxP requirements and regulated environments, including GAMP 5, ALCOA+, CSV, 21 CFR Part 11, EU GMP Annex 11, and change control
  • Experience with Infrastructure as Code and CI/CD, such as Terraform, GitHub Actions, Azure DevOps, or Databricks Asset Bundles
  • Strong communication skills with the ability to translate technical concepts and trade-offs for business, quality, and leadership stakeholders
  • Experience in pharma, biotech, or CDMO environments and/or qualification and validation of cloud data platforms is an advantage
  • Familiarity with data integration, governance, OT/IT data flows, and ML/AI workloads; Databricks certifications and German language skills are a plus

Our offer:

  • A dynamic and rapidly growing work environment with internal development and training opportunities
  • Flexible working hours with home office days and an option for obtaining additional vacation days through workload reduction
  • Company‑run daycare center on the Bachem Campus in Bubendorf
  • 60% coverage of pension fund contributions by Bachem AG as well as option for extra-mandatory pension provision with our Pension Plan Plus
  • Access to benefits platforms with discounts from external partners
  • Fresh, healthy and varied food in our staff restaurant
  • A wide range of free sports activities on the Bachem Campus

Would you like to drive innovation together with us?

We look forward to receiving your complete application documents via our application portal.

Learn more about the Bachem Group and get inspired by our exciting work environment at our location in Bubendorf!

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.