Manager, Specialist Solutions Architect - Paris, France - Databricks

Databricks

Entreprise vérifiée

Paris, France

il y a 1 semaine

Posté par:

Sophie Dupont

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Description

The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both our new and existing customers.

Your team provides specialist expertise to the Solution Architect (SA) and Sales teams who develop and oversee the technical account strategy.

The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSAs) responsible for important elements of the technical sales cycle.

As a manager, you will report to the regional SSA and DSA director and you will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science 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 important partners in large corporations.

You will focus on the French business, and contributing to grow the Southern EMEA business.

The impact you will have:

You will hire and train a diverse team of Specialist Solutions Architects for Databricks, a company in hypergrowth mode
Exceed your region's consumption targets by working with your peers to determine where to deploy your team of technical experts to guide the most important 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 a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
Help resolve customer questions on accounts and opportunities deemed strategic by Sales and Presales field leadership
Act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members.

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 leading technical customerfacing teams (team sizes greater than 5) in a presales organisation leading technical engagements
Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations
Experience collaborating with other teams such as Sales, Product Management, and Customer Success
Experience driving software platform adoption in Fortune 500 organisations in markets such as: Finance, Media, Retail, Telco, Energy, and Healthcare
Up to 30% of travel required.
Based in Paris area

Benefits

Complementary health insurance
Complementary life and disability coverage
Complementary pension
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel accident insurance
Mental wellness resources

About Databricks
Databricks is the data and AI company.

More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI.

Databricks is headquartered in San Francisco, with offices around the globe.

Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.

To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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