Company

Databricks

Departments (43)

Offices (82)

Total jobs

open positions

Departments

hiring across

New today

last 24 hours

Worldwide

remote listings

2 positions

Manager, Field Engineering

Databricks

Mexico City Field Engineering - FE Direct Enterprise 6d ago

Sr. Solutions Engineer

Databricks

Mexico City Field Engineering - FE Direct Enterprise 1w ago

Manager, Field Engineering

Databricks · Mexico City

Apply now

Field Engineering - FE Direct Enterprise Mexico City Posted May 1, 2026

FEQ427R170

Mission

Reporting to a Senior Manager, Field Engineering, the Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the of Databricks’ Field Engineering team in Latam. You will lead and promote 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

You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
Make your customers extremely successful with Databricks and provide outsized value to their businesses.
You will maintain a robust hiring pipeline at all times.
Establish relationships across the business to make your customers and team successful.
Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI).
Trusted advisor to technical executives that guide strategic data infrastructure decisions.
Lead a team through best practices for technical qualification, technical validations, 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 the recipes for long term growth and success
Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
Experience working cross-functionally with other teams such as 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 your team and customers towards ideal solutions - that scale.

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 around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

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 click here.

Our Commitment to Diversity and Inclusion

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.

Compliance

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.

Ready to apply?

Apply to Databricks

Databricks

View all jobs →

Sr. Solutions Engineer

Databricks · Mexico City

Apply now

Field Engineering - FE Direct Enterprise Mexico City Posted Apr 30, 2026

FEQ427R3

As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions that express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams, with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customers' needs and build valuable customer engagements, and report to the Field Engineering Manager.

The impact you will have:

● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.

● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.

● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.

● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.

● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

● 3+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:

● Big data engineering (Ex: Spark, Hadoop, Kafka)

● Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)

● Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)

● Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)

● Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.

● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.

● Fluent in SQL and database technology.

● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.

● [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP

● [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

● Travel to customers in your region up to 30% of the time.

About Databricks

Our Commitment to Diversity and Inclusion

Compliance

Ready to apply?

Apply to Databricks

Databricks

View all jobs →