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Full-Time

Delivery Solutions Architect

Remote

Posted on 5/3/2023

Databricks

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics
AI & Machine Learning

Senior

Seattle, WA, USA

Requirements
  • 7+ 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 our 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
  • A 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
Responsibilities
  • You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers
  • Lead the Post-Technical Win technical account strategy and investment 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
  • You will 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 of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 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, bringing EM/PM in to prepare Professional Services proposals
  • Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs
  • Develop mutual success 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 Eg. 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 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%
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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

INACTIVE