招聘

Lead/Senior Solutions Architect – Retail & CPG (Data & AI)
London, United Kingdom
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Team events and activities
•Professional development budget
•Equity
•Healthcare
•Learning
Required Skills
PostgreSQL
TypeScript
React
Req ID: FEQ326R178Recruiter: Dina Hussain Location: London, UK (Remote/Flexible with travel)
Reports to: Senior Manager, Field Engineering
The Opportunity: Reshaping the Future of Retail
From personalised shopping experiences to sustainable supply chains, data is the engine driving the Retail and Consumer Packaged Goods (CPG) industries forward. At Databricks, we are looking for a strategic technical leader to help the world's biggest brands turn their data into intelligence.
As a Lead/Senior Solutions Architect, you won’t just be building architectures; you will be building relationships, strategies, and the future of our team. You will act as a bridge between business goals and technical reality, ensuring our customers succeed and our internal teams thrive.
Why You’ll Love This Role
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Strategic Influence: You will move beyond purely technical tasks to shape long-term data strategies for complex, enterprise-scale organisations.
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Mentorship & Leadership: As a senior member of the team, you will have a direct hand in coaching junior architects, fostering a culture of learning and "technical championship."
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Defined Career Paths: We don’t guess about your growth. You can choose to develop in four clear tracks: Technical Specialisation, Industry Thought Leadership, Strategic Customer Vision, or People Management.
Our Philosophy: We value curiosity over perfection. If you have experience in data and a passion for the Retail/CPG space, but don't meet every single technical requirement,** we encourage you to apply.** We are interested in your potential and your ability to solve complex problems.
How You Will Make an Impact
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Trusted Advisory: You will build authentic partnerships with stakeholders—from developers to C-suite executives—helping them understand the vision of the Databricks Data Intelligence Platform.
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Strategic Planning: Partner closely with Account Executives to design engagement strategies that address the specific, high-stakes needs of large Retail/CPG customers.
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Team Coaching: Act as a mentor for the wider team, guiding them on how to prioritise use cases and build technical credibility with clients.
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Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer.
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Thought Leadership: Elevate your profile by leading workshops, creating customer-facing content, and speaking at industry meet-ups.
What We Are Looking For
We are looking for a blend of technical expertise, industry insight, and emotional intelligence.
Industry & Strategic Experience:
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Retail/CPG Knowledge: Experience working within the Retail or CPG sectors, understanding the nuances of consumer data, supply chains, or merchandising.
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Enterprise Engagement: Experience navigating** complex, strategic accounts.** You know how to manage multiple stakeholders and long-term sales lifecycles (Global account experience is a plus, but deep experience with complex large-scale accounts is the priority).
Technical Expertise:
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Architecture & Cloud: Hands-on experience designing proofs-of-concept for Big Data solutions on public cloud platforms (AWS, Azure, or GCP).
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Coding Foundations: Proficiency in a core programming language (e.g., Python, Java, or Scala) and a** willingness to learn** Apache Spark.
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Problem Solving: The ability to design creative technical solutions for specialised customer needs.
Communication & Travel:
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Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical leaders.
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Travel: This role requires travel to customer sites in the UK and London offices (approx. 20-30%). We support flexible scheduling to help manage this travel alongside your personal life.
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
Mid/L4 · Enterprise Account Executive
1 reports
$147,084
total / year
Base
$127,899
Stock
-
Bonus
-
$147,084
$147,084
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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