Databricks

Builds cloud software for data analysis and AI

Field Engineering Manager - Specialist Solutions Architects

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours

Full-timeParis, FranceNo salary listedIn-person

About the Job

Requirements

Experience in senior roles in the data space with a technical product, such as data warehousing, big data, or machine learning.
Experience leading technical overlay customer-facing teams with more than eight team members, preferably in a pre-sales organization leading technical engagements.
Ability to act as a trusted advisor to technical executives guiding strategic data infrastructure decisions.
Ability to challenge and define priorities.
Ability to lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
Experience hiring qualified candidates, ramping them up for success, and promoting them into larger roles.
Experience working with teams such as Sales, Product Management, and Professional Services.

Responsibilities

Lead a team of Specialist Solutions Architects responsible for key elements of the technical sales cycle.
Grow and develop a dynamic team with expertise in enterprise software, data engineering, and data science/machine learning, while deepening their knowledge of Databricks as the platform expands.
Enhance the team's effectiveness, communicate complex business value-focused solutions, support complex sales cycles and customer architectures, and build relationships with key stakeholders in large corporations.
Provide specialist expertise to Solution Architect and Sales teams responsible for developing and overseeing the overall technical account strategy.
Hire, train, and grow a diverse team of Specialist Solutions Architects.
Exceed regional consumption targets by working with cross-functional counterparts to determine where to deploy technical experts to advance critical use cases.
Help customers succeed with Databricks and provide value to their businesses.
Establish relationships across the business to support customer and team success.
Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota.
Foster morale and working relationships between Field Engineering, Sales, and other internal partners.
Help resolve customer questions and concerns on strategic accounts and opportunities identified by Sales and pre-sales field leadership.
Handle escalations, mentor team members, and build career paths for assigned team members.

Desired Qualifications

Experience leading technical overlay customer-facing teams with more than eight team members in a pre-sales organization leading technical engagements is preferred.

FEQ327R159

Field Engineering Manager - Specialist Solutions Architects France

The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations.

The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy.

Reporting to the Senior Manager, Field Engineering (Specialist).

The impact you will have:

You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode
Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward
Make your customers extremely successful with Databricks and provide outsized value to their businesses
Establish relationships across the business to make your customers and team successful
Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota
Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership
Act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc.

What we look for:

Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning)
Experience in leading technical overlay customer-facing teams (team sizes greater than 8), preferably in a pre-sales organisation leading technical engagements
Trusted advisor to technical executives that guide strategic data infrastructure decisions
Team player, but able to challenge and define priorities
Self-starter, challenger, strategic planner & analytical thinker
Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations
Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles.
Experience working with other teams such as Sales, Product Management, and Professional Services

About Databricks

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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size: 10,001+
Company stage: Late Stage VC
Total funding: $32.1B
Headquarters: San Francisco, CA
Founded: 2013

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