Data Engineering Manager

Databricks

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 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.

AQEMIA

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles.   What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies.   Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people’s lives.   For more information, visit AQEMIA.com, our WTTJ Page, and our LinkedIn.    About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery.   This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention.   About our Engineering Department The Engineering team (~12 people) builds and scales the technical foundations that power Aqemia’s drug discovery engine.   Bringing together expertise across software engineering, cloud infrastructure, data engineering, site reliability engineering (SRE), and scientific computing, the team designs and operates robust, secure, and high-performance platforms that enable Aqemia’s scientific and AI teams to experiment, train, deploy, and run models at scale.   Their work spans data infrastructure, scientific compute systems, cloud operations, orchestration, observability, CI/CD, developer tooling, and platform scalability. By transforming cutting-edge research into reliable and scalable systems, the team accelerates the discovery of new medicines while ensuring operational excellence and an outstanding developer experience. As Engineering Manager of the Compute team, you will lead a team of 5 engineers responsible for building and evolving the compute platform that powers AQEMIA's scientific simulations, machine learning workloads, and large-scale experimentation. You will combine strong engineering leadership with technical credibility to grow a high-performing team while delivering reliable and scalable platform capabilities.

Databricks

FEQ227R207 As a Field Engineering Manager, you will lead a talented team of technical pre-sales Solutions Architects and Solutions Engineers based in France. You’ll play a key leadership role at the intersection of technology and business, helping our teams design value-based solutions and drive growth through effective collaboration with Sales. You’ll coach your team to communicate complex ideas clearly, support strategic sales cycles, and build strong partnerships with customers and stakeholders across large organisations. The impact you will have: * Lead, mentor, and develop a high-performing pre-sales team in France. * Foster an inclusive and collaborative culture that reflects Databricks’ values of customer obsession, teamwork, and diversity. * Partner with Sales to drive growth through solution- and value-based selling. * Enhance team effectiveness by establishing best practices that improve efficiency and focus on business impact. * Build trusted relationships with customer executives and strategic partners. * Collaborate across teams—including Marketing, Sales, and Services—to ensure seamless implementation and customer success. * Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in the market. What we look for: * Proven experience managing technical teams in Big Data, Cloud, or SaaS environments. * A track record of leading, mentoring, and scaling pre-sales or technical field organisations. * Understanding of consumption-based business models. * Ability to collaborate effectively with Sales and other cross-functional leaders. * Strong communication and interpersonal skills—fluent in English and native-level French. * Technical background in Data Engineering, Databases, or Data Science (consulting experience is a plus). * Passion for data, AI, and cloud technologies and the ability to articulate their business value clearly. Note: Location for the role is in Paris (i.e. within commutable distance). #LI-hybrid 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.