Full-Time

Lead Solutions Architect

Confirmed live in the last 24 hours

Databricks

Databricks

10,001+ employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior, Expert

United Kingdom

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Data Science
Machine Learning
Databricks
Data Analysis

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Experience leading Data & AI transformation within at least one company, ideally at the C level
  • Well-versed in the overall challenges impacting the various industry verticals around security, compliance, legal and regulations to make sure we are current with our solutions
  • Broad range of experience with strategy or execution of technical and design direction, including large-scale database and/or data warehouse technology, ETL, analytics and public cloud technologies
  • Understanding of Data Science & Machine Learning concepts and applications to the business
  • Prominent in CIO Fora and CDO forums (or similar) with good C level connections across EMEA
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Experience working with C-level executives and an ability to quickly establish credibility with senior leadership
  • Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
Responsibilities
  • Have direct involvement with our most strategic customers and partners building trusted relationships with the c-suite, technical stakeholders, participate in executive briefing sessions and lead co-innovation projects
  • Translate Voice of the Customer to help deliver the best of breed products and solutions to our Industry customers
  • Be the voice of the customer identifying industry trends, functional requirements and technical gaps to partner with product management for prioritisation
  • Help to drive repeatability by creating Databricks’s industry specific technical selling assets (c-suite guides and lessons, reference architectures, use cases, demos, customer case studies and solutions)
  • Collaborate with counterparts in Global and Regional System Integration partners to jointly define Databricks centric offerings
  • Contribute and participate in industry marketing activities such as webinars, conferences, blogs etc
  • Interact with our regional go to market leaders and account teams to ensure we are the strategic partner guiding our customers through their Data & AI transformation
  • Work closely with regional sales and technical leaders to elevate the account strategy to support the c-suite through Data & AI transformation
  • Regularly coach and enable regional account teams on how to engage the C-suite. Through your extensive C-suite network, build new connections with customers’ leadership teams
  • Collaborate with our industry go-to-market team to prioritise industry-specific capabilities in future product roadmaps and drive Databricks’ industry sector product vision into the market
Desired Qualifications
  • Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. Unlike many competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services. The company's goal is to empower organizations to leverage their data effectively for better decision-making and insights.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $15 billion for AI product development and global expansion.
  • The acquisition of BladeBridge enhances Databricks' capabilities in automated data migration.
  • Increased demand for real-time analytics boosts adoption of Databricks' platform.

What critics are saying

  • Increased competition from Snowflake challenges Databricks' lakehouse architecture.
  • Integration challenges from BladeBridge acquisition may disrupt workflows and delay rollouts.
  • Reliance on large-scale debt financing poses financial risks if market conditions change.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows, enhancing team productivity.
  • Databricks integrates seamlessly with various cloud services, supporting multi-cloud strategies.

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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

-1%

1 year growth

0%

2 year growth

-1%
Intelligence360
Feb 10th, 2025
Databricks Secures $15B for AI Expansion

Databricks announced the completion of a $10 billion Series J funding round and a $5.25 billion debt financing, valuing the company at $62 billion. Key investors include QIA, Temasek, and Meta. The funds will be used for AI product development, acquisitions, and global expansion. The credit facility, led by JPMorgan Chase, includes a $2.5 billion revolver and a $2.75 billion term loan. CEO Ali Ghodsi highlighted the importance of data intelligence in leveraging generative AI.

PR Newswire
Feb 4th, 2025
Databricks Acquires BladeBridge Technology and Talent to Accelerate Data Warehouse Migrations

/PRNewswire/ -- Databricks, the Data and AI company, today announced that it has welcomed the team behind BladeBridge, a leading provider of AI-powered...

WowTale
Jan 23rd, 2025
Databricks Secures $15B in Series J Funding

Databricks announced the completion of a Series J funding round, raising $15 billion, with participation from existing investor Qatar Investment Authority and new investors Temasek and Macquarie Capital. The company is now valued at $62 billion. Meta joined as a strategic investor. Databricks plans to use the funds for AI product development, M&A, and global expansion. Additionally, they secured a $5.25 billion credit facility led by major financial institutions.

Tech in Asia
Jan 23rd, 2025
Databricks Secures $10B Funding with Meta

Databricks has secured Meta as a new investor in a $10 billion funding round, one of the largest in venture capital, with contributions from the Qatar Investment Authority. This investment supports Meta's development of Llama, an open-source large language model used in Databricks' AI offerings. Databricks has raised a total of $14 billion in venture funding and is considering an IPO within the next year.

LiveMint
Jan 13th, 2025
Databricks Inks $5 Billion Financing From Private Credit, Banks

Software maker Databricks Inc. has clinched more than $5 billion of financing from lenders including Blackstone Inc., Apollo Global Management Inc. and Blue Owl Capital Inc. in its largest debt raise to date, according to people with knowledge of the matter.