Sr. Product Adoption Architect (Data & AI)

Sorry, this job was removed at 04:17 p.m. (CST) on Tuesday, Nov 18, 2025
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3 Locations
In-Office
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role

FEQ326R49

Location: Either London (UK), Paris (France), Amsterdam (Netherlands) or Munich (Germany)

Sr. Product Adoption Architect

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly, intuitive and open platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. 

As a Sr. Product Specialist Adoption Architect you will be a technical expert in how customers can be successful with developing analytical use-cases in the Lakehouse paradigm. You will work closely with the Product Management, Global Product Adoption and the EMEA Field Engineering and Sales teams to define and deliver the product line adoption strategy for Databricks EMEA. You will help to lay out the playbook, and drive focus and execution on GTM actions for product priorities. You will help define the delivery strategy and assets for product line adoption in EMEA. You will help triage product escalations and blockers and represent the field perspective on strategic decisions. You will work with field leaders to create a strategy to hit their product specific targets, identifying target accounts and create a community of Subject Matter Experts (SMEs)  across the field to support these goals.

You will report directly to the Sr. Director Product Specialists Databricks Field Engineering and will be located in the UK, France, Germany or The Netherlands. Databricks Field Engineering works with our current and future customers to grow adoption, win technical validations and advise customers on Databricks best practices. 

The impact you will have:

  • Work with EMEA Product Specialist leader and cross functional stakeholders to develop end to end Product Line Adoption strategy and operating model for EMEA
  • Working with sales and technical leaders drive adoption of Databricks Data Intelligence solutions across EMEA
  • Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities in how customers can and should bring Databricks into their Data strategies. 
  • Create the strategy and definition of scalable, repeatable Product Programs.
  • Analyse, develop and translate field needs into requirements to deliver product line adoption acceleration through Product Strategy and Adoption team
  • Triage escalations and prioritize customer blockers to maximize field impact of product development.

What we look for:

  • Experience in designing and delivering cloud-based Data and AI Solutions in a customer environment
  • Proven trusted advisor to technical executives that drive strategic data decisions.
  • Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL
  • Experience in pre-sales selling highly desired
  • Operationally minded and ability to design at a system level
  • Strong execution and ability to drive to outcomes in the face of ambiguity
  • Strong leadership skills - ability to coordinate with various roles across GTM, Field Engineering, Sales and R&D that contribute toward product line adoption.

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, please visit https://www.mybenefitsnow.com/databricks. 

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.

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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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