Full-Time

Lead Solutions Architect

Chief Technology Officer level-CPG/Retail, Data Science/Data Engineering background

Posted on 4/1/2026

Databricks

Databricks

10,001+ employees

Data lakehouse platform for analytics

No salary listed

London, UK

In Person

Category
Sales & Solution Engineering (1)
Required Skills
Data Science
Databricks
Data Analysis
Requirements
  • Minimum 5 years of experience working as a senior leader or executive in the Retail and Consumer Packaged Goods vertical (directly in industry and/or deep experience working as a vendor to the industry)
  • Intimate knowledge of the technology landscape in the Retail and Consumer Packaged Goods industry
  • Experience driving data transformation projects change at a large Retail and Consumer Packaged Goods company, with a strong understanding of how large RCG firms make decisions, and an ability to influence that decision-making process
  • Prior experience in acting as the Technology Leader for the customer and "go-to" person in established, long-term relationships with technical and/or business decision-makers at the Chief X Officer (CxO) level at the customer
  • Ability to innovate technical solutions to achieve customers’ business transformation and achieve account growth targets, by leveraging technology and industry knowledge to deliver digital solutions to accelerate the customer's digital vision
  • Proactively builds and maintains a strong knowledge of the Retail and Consumer Packaged Goods industry, associated business strategy, and key industry partners and solutions
  • Coordinates with internal and external industry experts to gather industry knowledge to improve customer outcomes
  • Strong knowledge of key regulations in the Retail and Consumer Packaged Goods industry, with a particular focus on European regulations
Responsibilities
  • Be a thought leader within our global Retail and Consumer Packaged Goods community
  • Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy
  • Working closely with with the Strategic or Global Account executives, leveraging our large, multi-functional team, lead internal teams to provide analyses and architect solutions for the customer. Hold accountability as a strategic link between Databricks and the customer for identifying a pathway for strategic efforts and resources necessary for building a technology strategy
  • Technology Sales Leadership – Lead technology thought leadership and technology sales activities to drive the customer’s digital transformation vision and roadmap with Databricks. Orchestrate the extended team, leading customer joint envisioning sessions, to bring the best of Databricks technology to help the customer achieve their digital goals
  • Cultivate relationships - and solutions - with the partner ecosystem, including SIs, ISVs, and Data Collaboration partners
  • Collaborate with marketing to develop RCG content, collateral, and demand-generation plans
  • Digital Transformation Strategy – Own the relationship with C-level technology/innovation executives at the customer and build relationships with business leaders to achieve their business and technology outcomes. Understand the customer’s business goals, solution areas, and partner solutions to build a technology roadmap, enabling the customer’s innovation agenda through the utilisation of our technologies

Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$27.1B

Headquarters

San Francisco, California

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Asia-Pacific revenue surges 85% YoY in Q4, expanding to 32,000 sq ft Singapore office in 2026.
  • Acquires Antimatter and SiftD.ai to launch Lakewatch, adopted by Adobe and Dropbox.
  • Partners with UiPath and DBOS to enhance AI agent reliability and workflow orchestration.

What critics are saying

  • Snowflake Cortex AI erodes differentiation with cheaper serverless LLMs, churns customers in 6-12 months.
  • Microsoft Fabric's 5x faster queries collapse Azure customers' SQL pricing in 3-9 months.
  • Anthropic terminates Claude partnership in Q1 2026, obsoletes Lakewatch security in 12-24 months.

What makes Databricks unique

  • Databricks unifies data engineering, science, and business on Apache Spark-powered lakehouse.
  • Lakewatch delivers AI agentic SIEM using Anthropic's Claude for petabyte-scale threat detection.
  • Unity Catalog enforces unified governance across data, models, and dashboards.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
RadixArk
May 5th, 2026
Our $100M Seed to Build Open Infrastructure for Frontier AI

RadixArk announces $100 million in Seed funding at a $400 million post-money valuation.

PR Newswire
Apr 9th, 2026
Persistent launches AI-powered merchant risk solution, targets 20-40% fraud reduction

Persistent Systems has launched a Merchant Risk Management and Fraud Detection solution powered by Databricks' Data Intelligence platform. The solution uses Agentic AI to perform real-time merchant vetting during onboarding and continuous monitoring of transactions, chargebacks and third-party signals to detect fraud and compliance risks. Built on Databricks' platform, the solution triggers configurable actions when risk signals are detected, including enhanced monitoring or transaction restrictions. Persistent expects the solution to deliver a 20–40% reduction in fraud losses, 30–60% improvement in detection accuracy and 50–70% reduction in manual review effort. The solution is available now as a Databricks accelerator for banks, acquirers and payment service providers globally. Persistent is a Databricks Global Systems Integrator partner with over 900 certified professionals.

TechCrunch
Apr 8th, 2026
Databricks CTO wins computing award, says 'AGI is here already

Databricks co-founder and CTO Matei Zaharia has been awarded the 2026 ACM Prize in Computing, recognising his contributions including Apache Spark, the open source big data project he created during his PhD at UC Berkeley in 2009. The award includes a $250,000 prize, which Zaharia is donating to charity. Under Zaharia's engineering leadership, Databricks has grown into a cloud storage and AI data foundation giant, raising over $20 billion at a $134 billion valuation and achieving $5.4 billion in revenue. Zaharia believes artificial general intelligence already exists but argues we should stop applying human standards to AI models. He advocates for AI agents that leverage their unique strengths in data processing rather than mimicking human assistants, citing security risks. His focus is on AI-powered research automation across fields like biology and engineering.

PR Newswire
Apr 7th, 2026
DBOS partners with Databricks to boost agentic AI reliability and observability

DBOS, Inc. has announced a technology partnership with Databricks to enhance the reliability and observability of agentic AI workflows. The collaboration integrates DBOS's open-source durable execution platform with Databricks and Lakebase, Databricks' serverless Postgres database designed for AI agents. The partnership addresses challenges in agentic AI, including long-running workflows and unpredictable model responses. DBOS stores workflow checkpoints in Lakebase in real time, enabling AI agent workflows to resume automatically after failures without data loss. Yutori, an AI company building autonomous web agents, is already using the combined platform to power its workflows. The integration is available immediately and requires no additional infrastructure or coding changes. DBOS is backed by joint MIT-Stanford research and serves AI startups and Fortune 100 companies.

SiliconANGLE Media
Apr 7th, 2026
London AI security startup Trent AI raises $13M to protect AI agents from cyber threats

Trent AI, a London-based AI security startup, has launched with $13 million in seed funding led by LocalGlobe and Cambridge Innovation Capital. Executives from Databricks and Stripe also participated. Founded by former Amazon Web Services engineers Eno Thereska, Neil Lawrence and Zhenwen Dai, Trent AI has developed a platform that uses AI agents to identify cybersecurity issues in AI agents and their generated code. The platform employs four groups of agents that find exploits, rank vulnerabilities by severity, generate remediation suggestions, and track security changes over time. The platform can simulate complex attack paths and provides tool-specific features for OpenClaw and Lovable. Trent AI claims its technology outperforms traditional cybersecurity products designed for conventional software. The company will use the funding to expand its customer base and engineering team.

INACTIVE