Full-Time

Lead Solutions Architect

Multiple Teams

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
Machine Learning
Databricks
Requirements
  • Minimum 10 years of experience of working as an executive in the Banking, Capital Markets vertical (directly in industry and/or deep experience working as a vendor to the industry). Intimate knowledge of the technology landscape in the Banking and Capital Markets industry.
  • Comfortable across the entire value chain of Banking and Capital Markets, including but not limited to Customer Acquisition, Account Opening and Maintenance, Loan Origination and Servicing, Deposit and Withdrawal Processing, Payment Processing, Customer Service and Support, Risk Management and Compliance, and/or Risk Management and Underwriting, Claims Management, Policy Lifecycle Management, Finance Operations, Customer Service, Compliance and Regulatory Management, and Digital Transformation.
  • Experience driving change at a large Financial Services institution, with a strong understanding of how large Financial Services firms make decisions, and an ability to influence that decision-making process.
  • Prior experience acting as the Technology Leader for the customer and serving as the go-to person in established, long-term relationships with technical and/or business decision-makers at the Chief Information Officer/Chief Technology Officer or other 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 building and maintaining a strong knowledge of the Banking and Insurance (Financial Services Industry) industry, associated business strategy, and key industry partners and solutions. Coordinating with internal/external industry experts to gather industry knowledge and improve customer outcomes.
  • Strong knowledge of key regulations in the Banking and Insurance industry, with a particular focus on European regulations.
Responsibilities
  • 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.
  • Paired with the Strategic or Global Account executive, 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 FSI 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.

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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%
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PR Newswire
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DBOS partners with Databricks to boost agentic AI reliability and observability

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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.

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