Manager, Field Engineering

Manager, Field Engineering at Databricks

Mission

Reporting to a Director, Field Engineering, the Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Latam segment of Databricks’ Field Engineering team. You will lead a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You’ll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market.

The Impact You Will Have

• Hire, train, and grow a team of Solutions Architects for a company in high‑growth mode.
• Make customers extremely successful with Databricks and provide outsized value to their businesses.
• Maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make customers and team successful.
• Keep your team of SAs ahead of the technical curve with continuous learning and comprehensive solutions.

What We Look For

• Proven experience building and leading technical pre‑ or post‑sales teams – hiring, onboarding, and enabling professionals.
• 10+ years of experience in the data space with a technical product (data warehousing, big data, machine learning, or generative AI).
• Trusted advisor to technical executives guiding strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, validation, architecture discussions, and product demonstrations.
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success.
• Strong understanding of consumption‑driven business models and long‑term growth recipes.
• Experience hiring high‑bar candidates, ramping them up, and promoting them to larger roles.
• Create a positive morale and foster collaboration between Field Engineering, Sales, and other cross‑functional teams.
• Experience working cross‑functionally with Sales, Product Management, Engineering, and Customer Success.
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
• Demonstrated architectural influence – able to influence and review complex architectures, guiding teams and customers toward scalable solutions.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide – including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 – rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco with offices worldwide and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

Benefits

We strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on benefits offered in your region, please visit

Our Commitment to Diversity and Inclusion

We are committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices follow equal employment opportunity standards. All candidates 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.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is at the Employer’s discretion whether to apply for a U.S. government license, and the Employer may decline to proceed with an applicant on this basis alone.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Software Development