Jobs

Senior Technical Pre-sales Solutions Architect (Strategic Account - Energy)
London, United Kingdom
·
On-site
·
Full-time
·
2w ago
Required Skills
Python
PySpark
SQL
Apache Spark
AWS
GCP
Azure
REQ ID: FEQ227R144Recruiter: Dina Hussain Location: London, United Kingdom Industry: Strategic Account
- Energy, Utilities, Oil & Gas
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, leadership and vision-setting skills 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!
Reporting to the Manager, Field Engineering.
The impact you will have:
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You'll own our overall technical engagement and lead the globally distributed field engineering team at a large Oil & Gas customer.
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Partner with the Global Account Director to develop customer engagement strategies and orchestrate global account execution, ensuring work is coordinated, consistent, and impactful across BUs, geographies, and workstreams.
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Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
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You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy.
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Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
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Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
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Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.
What we look for:
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You know how to engage with a globally distributed customer and manage complex interactions and sales lifecycles in a technical pre-sales capacity.
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You will be working in any of the following vertical sectors within the
Strategic Account: Energy, Utilities, or Oil & Gas.
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A first-principles thinker with an AI-builder mindset and a deep curiosity for learning
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Experience in a technical customer-facing role and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.
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Ability to set strategic vision with peers and customers and influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.
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Prior experience with coding and vibe-coding in a core programming language (i.e., Python, Py Spark or SQL) and willingness to learn a base level of Spark.
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Hands-on expertise with complex proofs-of-concept and public cloud platforms (AWS, GCP, Azure).
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Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.
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The role requires travel to customer sites in the UK and to London offices.
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Travelling approx. 20-30% of the time and once a quarter for International travel
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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, 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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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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