Full-Time

Delivery Solutions Architect

Posted on 8/13/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior, Expert

London, UK

This is a hybrid role requiring in-office presence.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
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 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.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

38%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for data lakehouse solutions boosts Databricks' market potential.
  • Growing interest in open-source tools aligns with Databricks' acquisition of Tabular.
  • Expansion of AI applications in key sectors enhances Databricks' client base.

What critics are saying

  • Increased competition from companies like Snowflake threatens Databricks' market share.
  • Integration challenges with Tabular could lead to operational inefficiencies.
  • Rapid AI model development may attract ethical and regulatory scrutiny.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows.
  • Databricks integrates with various cloud services for seamless data management and analysis.

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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

INACTIVE