Tech Lead Forward Deployed Engineer – Databricks
Lead Databricks delivery for strategic clients. End-to-end ownership, working directly with the founders. Remote-first from Switzerland, 120–150k CHF + bonus.
About 10x Partners
We are a high-impact consultancy specialising in Palantir Foundry and AIP. Founded by ex-Palantir engineers and elite consultants, we deliver rapid, high-value solutions to our clients through deep technical expertise and real business impact.
Our mission: solve the world's biggest challenges with the best data & AI operating systems. Our method travels across platforms: model the business as an ontology, then make it operational. We are growing our Databricks practice, and we are hiring its technical leader.
The role
We are hiring a driven and ambitious Tech Lead Forward Deployed Engineer with deep Databricks experience to lead delivery for strategic client projects. You'll work directly with the founders and take end-to-end ownership of high-impact programs. You will:
- Build end-to-end workflows from data integration to decision tools using Databricks (Unity Catalog, Lakeflow pipelines, Delta lakehouse, and the semantic layer on top)
- Work directly with client stakeholders of all levels (CxOs, operations leads, data teams) to uncover opportunities and deliver business value
- Own the technical architecture of client programs, from first workshop to production and handover
- Run the delivery rhythm: sprints, demos, UAT with named user groups, steering committees. You own dates, and you hit them
- Lead engineering teams on high-visibility projects, from beginning to end
- Shape our engineering culture, delivery model, and our growing Databricks practice
You bring
- Extensive hands-on Databricks experience: Delta Lake, Unity Catalog, Spark / PySpark, Lakeflow pipelines and jobs, Databricks SQL. Databricks Apps, Asset Bundles and Mosaic AI are a plus
- Strong software engineering background (Python, Spark, TypeScript)
- Deep understanding of data modelling, ontologies, and operational workflows
- Proven technical leadership: you have owned architecture and led engineers through multi-quarter client deliveries, from first workshop to production
- Consulting mindset: able to speak business and tech with every stakeholder type
- Startup energy: proactive, independent, high-output with attention to quality
- A plus: optimization or scheduling exposure, and industrial domain experience
Ownership matters more than years: one platform carried from first workshop through production and hypercare, with you accountable throughout, beats a decade of handovers. You can run a delivery with clients without close supervision. We're looking for a founder mindset: proactive, fast, and fully accountable.
Location
Remote-first, with optional team gatherings in Switzerland and at client sites.
Why join 10x Partners?
- Flagship work: lead ambitious client programs, greenfield, from architecture to adoption
- Elite team: work with ex-Palantir engineers and top data platform experts
- True ownership: end-to-end responsibility for strategic client outcomes and internal initiatives
- High agency, low politics: lean team, zero red tape; your ideas shape client delivery, internal tooling, and company strategy
- High growth: the Databricks practice is ours to build, and your delivery playbook becomes the company standard
- Flexible setup: remote-first, with options to travel, collaborate onsite with clients, and join team off-sites in Switzerland
- Base compensation: 120–150k CHF (+ bonus)
Ready? The screening takes less than 20 minutes and goes straight to the partners.
What we're looking for
- 5+ years of hands-on Databricks work (Delta Lake, Unity Catalog, Spark, Lakeflow)
- Strong software engineering background (Python, Spark, TypeScript)
- Deep understanding of data modelling, ontologies, and operational workflows
- Proven tech lead on multi-quarter client deliveries: architecture ownership plus team leadership
- Consulting mindset: able to speak business and tech with every stakeholder type
- Startup energy: proactive, independent, high-output with attention to quality
- A plus: optimization or scheduling exposure, industrial domain experience
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