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Databricks is seeking a Field Engineering Manager to lead and scale a high-performing pre-sales engineering team across Eastern Europe. You will coach engineers, align with enterprise sales, and drive technical validations that translate into business outcomes.
This role demands exceptional executive presence and deep domain expertise. You will partner with regional leadership to shape strategy, build reference architectures, and foster an inclusive engineering culture focused on customer value
FEQ427R475 As a Field Engineering Manager, you will lead, coach, and scale a high-performing team of technical pre‑sales Solutions Architects and Solutions Engineers across Eastern Europe. Positioned at the intersection of complex cloud architecture and enterprise business value, you will serve as a pivotal technical leader driving Databricks’ market expansion and customer acceleration across the EE region. In this role, you will partner with Enterprise Sales leadership to technical sales cycles, build strategic C‑level alignment, and establish a repeatable technical motion. You will balance strategic regional planning with hands‑on technical guidance helping your team architect modern Data & AI solutions while maintaining a bar‑raising, inclusive engineering culture.
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform 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 platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.
If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.