Full-Time
Manager Big Data Architecture
Professional Services
Posted on 9/8/2025
Databricks
10,001+ employees
Data lakehouse platform for analytics
No salary listed
London, UK
In Person
Travel up to 10% (more at peak times) is required.
 Consulting (3) |
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- Proven leadership experience in managing and guiding consulting, delivery, or solution architecture teams, ensuring successful project execution and team development
- Strong technical background as a hands-on Solutions Architect, enabling you to effectively support and mentor technical architects under your leadership while driving strategic initiatives
- Experience driving software platform adoption in Fortune 500 organizations in markets such as: Finance, Media, Retail, Telco, Energy, and Healthcare
- Implement a project schedule with experience with customer engagement
- Experience with Databricks products, Spark ecosystem, and direct competitors
- Travel is required up to 10%, more at peak times.
- Provide strategic leadership for delivering professional services engagements to high-value Databricks customers.
- Own the delivery of customer projects in your region to ensure they are managed and delivered to target and exacting standards.
- Be an ambassador for Services and their value in the region, represent the organisation in steering committees, and work with cross-functional teams and leaders to ensure Services support the development of the local business.
- Lead and manage the Resident Solutions Architect team, including oversight, mentorship, and building a career path for team members.
- Oversee and mentor through escalation handling, and guide the largest customers implementing pipelines spanning data engineering through model building and deployment, plus other technical tasks to help customers get value out of their data with Databricks.
- Partner with account executives, customer success and field engineering leaders while guiding Resident Solutions Architects to achieve success with professional services projects with customers
- Help resolve customer concerns on strategic accounts and professional services engagements
- Analyze operational processes and escalation procedures and perform training needs assessments to identify opportunities for improving service delivery and contributing to customers
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'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
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%RadixArk announces $100 million in Seed funding at a $400 million post-money valuation.
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.
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.
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.
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.