London•Posted: Jul 17•Deadline: Aug 16
Req ID - FEQ227R148 x 4 new roles
Location: London
Recruiter: Dina Hussain
At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset
guide us to build 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 and intuitive 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 Databricks Data Intelligence Platform can
help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation
and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their
businesses forward. Join us in our quest to change how people work with data and make a better world!
You will be reporting to the Manager, Field Engineering.
The impact you will have:
* Form successful relationships with clients throughout your assigned territory to provide technical and business value in
collaboration with an Account Executive and a Senior Solutions Architect.
* Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider
cloud ecosystem and 3rd party applications.
* Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
* Become a Big Data Analytics advisor on aspects of architecture and design.
* Support your customers by authoring reference architectures, how-tos, and demo applications.
* Develop both technically and in pre-sales, with the goal of becoming an independently operating Solutions Architect.
What we look for:
* Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data
Warehousing or Data Engineering.
* You will be working in the following any of the following vertical sectors:
* Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality.
* Manufacturing, Energy, Utilities and Industrials
* Travel, Transport and Logistics
* Financial Services and Insurance
* Public Sector
* Consumer Package Goods (CPG) / Retail
* Any experience in Pre-sales or post-sales experience working with external clients
* Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important
interests, and achieving tangible outcomes.
* Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for
business value to develop a trusted advisor skillset.
* Code in a core programming language such as Python, Java, or Scala.
* Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a
major public cloud platform (AWS, GCP, Azure).
* Experience diving deeper into solution architecture and design.
* The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time
* Nice to have: Databricks Certification
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.
London•Posted: Jul 17•Deadline: Aug 16
Req ID: FEQ327R439 x 2 New roles
Recruiter: Dina Hussain
Location: London (or surrounding areas)
At Databricks, our core values 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 and intuitive 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 Databricks Data Intelligence
Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that
values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and
guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
You will be reporting to the Manager, Field Engineering.
The impact you will have:
* Form successful relationships with clients throughout your assigned territory to provide technical and business value in
collaboration with an Account Executive and a Senior Solutions Architect.
* Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider
cloud ecosystem and 3rd party applications.
* Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
* Become a Big Data Analytics advisor on aspects of architecture and design.
* Support your customers by authoring reference architectures, how-tos, and demo applications.
* Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.
What we look for:
* Experience, technical customer-facing and with a background ideally in Data Science / Generative AI / Machine Learning, but
will also consider Data Warehousing or Data Engineering.
* You will be working in the following any of the following vertical sectors:
* Entertainment, Media, Telco and/or Hospitality.
* Financial Services and Insurance (FSI)
* Retail / CPG (Consumer Package Goods)
* Any experience in Pre-sales or post-sales experience working with external clients
* Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important
interests, and achieving tangible outcomes.
* Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for
business value to develop a trusted advisor skillset.
* Code in a core programming language such as PySpark, Python, Java, or Scala.
* Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a
major public cloud platform (AWS, GCP, Azure).
* Experience diving deeper into solution architecture and design.
* The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time
* Nice to have: Databricks Certification
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.
London•Posted: Jul 17•Deadline: Aug 16
ReqID: FEQ327R328
Recruiter: Kanwal Matharu
Location: London, United Kingdom - Hybrid
Skills: Data Science, Machine Learning, AI, LLM, GenAI
As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks
customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting
production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data
Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI,
LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert.
You will be reporting to the Manager, Field Engineering (Specialist Team)
The impact you will have:
* Lead the architectural design of production-grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle
from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services.
* Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading
deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges
using relevant real-world examples.
* Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation
of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing
content generation and monitoring frameworks.
* Drive community growth and platform adoption through thought leadership activities, including the creation of technical
tutorials and training materials, as well as leading hackathons and presenting at industry conferences.
What we look for:
* Experienced, technical, customer-facing, and with a background in Data Science / Machine Learning, and Data Engineering.
Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment.
* Pre-sales or post-sales experience working with external clients across a variety of industry markets
Data Science/ML Skills
* Hands-on industry ML experience in at least one of the following:
* ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications,
including drift monitoring
* Data Scientist: Experience with the latest techniques in natural language processing, including vector databases,
fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
* Hands-on experience working with Distributed Spark based systems.
* Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or
equivalent practical experience
* Experience communicating and teaching technical concepts to non-technical and technical audiences alike
* Passion for collaboration, life-long learning, and driving our values through ML
* [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
* [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets
* Can meet expectations for technical training and role-specific outcomes within 3 months of hire
* Can travel up to 30% when needed
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.
