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Manager, Field Engineering - Eastern EuropeDatabricks · Zürich, Switzerland
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Databricks

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Manager, Field Engineering - Eastern Europe

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🗓️ Posted 2026-09-02 Zürich, Switzerland Hybrid ICT
💰 Salary Not shared 📊 Market ₹12,000–₹18,000/mo

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops

Responsibilities

  • ● Lead, coach, and scale a high performing team of technical pre sales Solutions Architects and Solutions Engineers across Eastern Europe.
  • ● Partner with Enterprise Sales leadership on technical sales cycles, build strategic C level alignment, and establish a repeatable technical motion.
  • ● Balance strategic regional planning with hands on technical guidance to help the team architect modern Data & AI solutions.
  • ● Hire, onboard, and mentor a top tier pre sales engineering team across Eastern Europe, maintaining a robust talent pipeline and fostering continuous technical enablement on the Databricks Data Intelligence Platform.
  • ● Partner closely with Sales leadership to accurately forecast, technically qualify, and accelerate enterprise sales cycles, linking technical validations (PoCs/PVs) directly to long term consumption and measurable customer ROI.
  • ● Institute rigorous pre sales methodologies that shift conversations from feature lists to strategic business outcomes, establishing the team as trusted architectural advisors to customer CTOs, CDOs, and Chief AI Officers.
  • ● Engage directly with key customer executives and regional System Integrator (SI) / Cloud Service Provider (CSP) partners to secure reference architectures, co selling motions, and successful downstream implementation strategies.
  • ● Promote a customer obsessed, highly collaborative engineering team culture rooted in technical curiosity, architectural excellence, and diversity of thought.
  • ● Act as a key technical leader in Eastern Europe in partnership with Regional Marketing and Field Leadership to drive community engagement, executive roundtables, and developer events.

Requirements

  • ● Proven track record of building, coaching, and scaling technical pre sales or solutions architecture teams within a hyper growth SaaS, Cloud, or Enterprise Data/AI ecosystem.
  • ● Background as a practitioner or technical consultant in at least one core technical domain.
  • ● Hands on understanding of consumption driven SaaS business models, technical pipeline management, and strategic deal qualification frameworks such as MEDDPICC.
  • ● Ability to review, challenge, and influence complex multi cloud data architectures (AWS, Azure, GCP) to earn the immediate trust of customer engineering teams and internal product leaders.
  • ● Strong communication, whiteboarding, and storytelling skills; adept at translating complex distributed systems.