Databricks

4 weeks ago

Sr. Delivery Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Delivery-focused, post-sale technical lead for Databricks’ data/AI workloads. Partners with sales and field engineering to accelerate adoption, align executive stakeholders, and drive production onboarding, enablement, and healthy consumption across complex customer environments. Balances technical leadership with commercial strategy, coordinating services and product teams to deliver end-to-end value.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key 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
•Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account
•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

Travel: Low travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

Key Requirements

•5+ years of experience delivering technical projects/programs in Data/AI
•Programming experience in Python, SQL or Scala
•Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
•Understanding of distributed data systems and how to attribute business value to deliverables
•Technical program or project management experience including stakeholder and resource management

Experience:5+ yearsDataAiCloud

Education:Bachelor's

Skills:CommunicationLeadershipStakeholder managementProblem-solving

Languages:English

Tech Stack:PythonSQLScalaDatabricksDelta Lake

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

4 weeks ago

Sr. Delivery Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key 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
•Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account
•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

Travel: Low travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

Key Requirements

•5+ years of experience delivering technical projects/programs in Data/AI
•Programming experience in Python, SQL or Scala
•Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
•Understanding of distributed data systems and how to attribute business value to deliverables
•Technical program or project management experience including stakeholder and resource management

Experience:5+ yearsDataAiCloud

Education:Bachelor's

Skills:CommunicationLeadershipStakeholder managementProblem-solving

Languages:English

Tech Stack:PythonSQLScalaDatabricksDelta Lake

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn