Full-Time

Delivery Solutions Architect

Data & AI

Posted on 2/4/2025

Databricks

Databricks

10,001+ employees

Unified data platform for analytics and AI

Compensation Overview

$161.3k - $247.3kAnnually

+ Annual Performance Bonus + Equity

Senior

Remote in USA

Strong preference for candidates to be based in the Western region of the United States.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
SQL
Scala
Databricks
Requirements
  • 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
  • Programming experience in Python, SQL or Scala
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
  • Understanding of solution architecture related distributed data systems
  • Understanding of how to attribute business value and outcomes to specific project deliverables
  • Technical program, or project management including account, stakeholder and resource management accountability
  • Experience resolving complex and important escalation with senior customer executives
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
  • Track record of overachievement against quota, Goals or similar objective targets
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
  • Can travel up to 30% when needed
Responsibilities
  • Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
  • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
  • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
  • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
  • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
  • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
  • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
  • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production, Enablement / user growth plan, Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision), Organic needs for current investment (e.g. cloud cost control, tuning & optimization), Executive and operational governance
  • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

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. The company operates on a subscription-based model, generating revenue from platform access and professional services. The goal of Databricks 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

  • $15B funding supports AI product development and global expansion for Databricks.
  • BladeBridge acquisition strengthens Databricks' position in data warehouse migrations.
  • Rising demand for real-time analytics presents growth opportunities in finance and healthcare.

What critics are saying

  • $5.25B debt financing increases financial risk and pressure for rapid returns.
  • BladeBridge integration challenges may disrupt Databricks' data warehouse migration services.
  • Rapid expansion could strain resources, affecting service quality and customer satisfaction.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • Integration with OpenAI's GPT models enhances Databricks' natural language processing capabilities.
  • Collaboration with Meta on Llama boosts Databricks' open-source AI offerings.

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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

0%
TechNews
Mar 10th, 2025
Databricks AI Funding Surpasses $10B

According to PitchBook, AI investment has driven U.S. startup funding to its highest in three years, with over $30 billion raised this season and $50 billion ongoing. U.S. startups' Q4 2024 funding hit $80 billion, the highest since 2021. OpenAI is in talks with SoftBank to raise $40 billion at a $260 billion valuation, potentially the largest ever, surpassing Databricks' $10 billion. In 2024, U.S. AI startups raised a record $97 billion, 46.4% of total U.S. startup funding.

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...

SiliconANGLE
Jan 24th, 2025
Databricks completes $10B funding round, raises $5.25B in debt

Databricks completes $10B funding round, raises $5.25B in debt - SiliconANGLE

Channel Life
Jan 23rd, 2025
Databricks secures USD $10bn funding, USD $5.25bn credit

Databricks has secured USD $10 billion in Series J funding and a USD $5.25 billion credit facility to enhance its AI capabilities and global reach.

INACTIVE