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Full-Time

Delivery Solutions Architect

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics
AI & Machine Learning

Senior, Expert

London, UK

This is a hybrid role requiring some in-office presence.

Category
Sales Engineering
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
Sales
SQL
Scala
Requirements
  • 7+ years of experience where you have been accountable for technical program delivery within the domain of Data and AI and where you can contribute to the technical debate and design choices with our customers
  • Programming experience in Python, SQL or Scala
  • Experience in a customer-facing pre-sales, technical architecture of distributed data systems, customer success, or consulting role
  • A understanding of how to attribute business value and outcomes to specific project deliverables
  • Technical program management including account, stakeholder and resource management accountability
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
  • Continuous learning and keeping up with the fast evolution of the Databricks Lakehouse platform
  • Track record of overachievement against quota, goals or similar objective targets.
Responsibilities
  • Assist strategic customers in deploying or migrating their use cases and workloads into production on Databricks Lakehouse, leading the post-win technical account strategy/execution plan
  • 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 use Databricks
  • Develop an execution plan that covers all activities of all customer-facing technical roles and teams
  • Be the first contact for any technical challenge or questions related to production/go live status of agreed upon Use Cases in your aligned customers
  • Collaborate with the User Education, Onboarding/Technical Services and Support teams, and escalate to expert level technical specialists for requests that are beyond your scope of activities or expertise. Also coordinate with Professional Services and Partners in the delivery of their projects
  • Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrades
  • Provide regular internal and external updates on progress and risks/blockers to your leadership
  • Contribute to the development of the DSA community and practice by sharing best practices and assets.

Databricks provides a Lakehouse Platform integrating data management, analytics, and AI capabilities across a range of industries. Employing tools like Delta Lake and Databricks SQL enhances operational efficiency and precision. As a workplace, it offers a collaborative and technology-driven environment, promoting growth through cutting-edge machine learning solutions and a commitment to leading the industry in data innovation. This makes it an inspiring place for tech professionals to advance their careers in a vibrant and forward-thinking setting.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

7%

1 year growth

23%

2 year growth

77%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

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