Databricks

1 week ago

Delivery Solutions Architect - Startups & Emerging Enterprise

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Serve as the post-sale technical lead for Databricks customers, partnering with sales and field engineering to accelerate adoption of the Databricks Data Intelligence Platform. Drive growth through stakeholder leadership, executive relationships, and cross-team orchestration while owning technical strategies for key use cases. Own onboarding to go-live and healthy consumption, handle production issues and escalations, coordinate with Professional Services, and work with Product and Engineering on previews and upgrades.

Location: California, Colorado, Illinois, Massachusetts, New York, Oregon, Texas, Washington

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own post-technical-win account strategy and execution for key use cases across strategic accounts.
•Serve as accountable technical leader for specific customers/use cases, driving onboarding, enablement, go-live, and healthy consumption.
•Act as first point of contact for technical issues and production/go-live status for agreed use cases.
•Create and execute a point of view to accelerate key use cases into production, coordinating with Professional Services on engagement proposals.
•Provide KPI reporting on usage and customer health and partner with Product and Engineering on previews, upgrades, and innovations.

Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

Equity and Bonus:Equity

Key Requirements

•5+ years delivering technical programs/projects in data and AI, with the ability to contribute to technical debate and design choices with customers.
•Programming experience in Python, SQL, or Scala.
•Experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
•Understanding of solution architecture for distributed data systems.
•Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.

Experience:Data and AIDistributed data systemsCustomer-facing pre-salesTechnical architectureTechnical consulting

Education:Bachelor's

Skills:Stakeholder managementExecutive communicationProgram and project deliveryEscalation handlingStrategic planning

Languages:English

Tech Stack:PythonSQLScalaDatabricksLakehouseApache SparkDelta LakeMLflow

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

Loading job details...

Preparing the role view and application actions.

Databricks

1 week ago

Delivery Solutions Architect - Startups & Emerging Enterprise

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: California, Colorado, Illinois, Massachusetts, New York, Oregon, Texas, Washington

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own post-technical-win account strategy and execution for key use cases across strategic accounts.
•Serve as accountable technical leader for specific customers/use cases, driving onboarding, enablement, go-live, and healthy consumption.
•Act as first point of contact for technical issues and production/go-live status for agreed use cases.
•Create and execute a point of view to accelerate key use cases into production, coordinating with Professional Services on engagement proposals.
•Provide KPI reporting on usage and customer health and partner with Product and Engineering on previews, upgrades, and innovations.

Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

Equity and Bonus:Equity

Key Requirements

•5+ years delivering technical programs/projects in data and AI, with the ability to contribute to technical debate and design choices with customers.
•Programming experience in Python, SQL, or Scala.
•Experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
•Understanding of solution architecture for distributed data systems.
•Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.

Experience:Data and AIDistributed data systemsCustomer-facing pre-salesTechnical architectureTechnical consulting

Education:Bachelor's

Skills:Stakeholder managementExecutive communicationProgram and project deliveryEscalation handlingStrategic planning

Languages:English

Tech Stack:PythonSQLScalaDatabricksLakehouseApache SparkDelta LakeMLflow

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