Databricks

4 weeks ago

Delivery Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Delivery-centered technologist leading post-sale architecture and implementation for Data & AI workloads. Collaborates with sales, field engineering, and customers to drive adoption, ensure successful production deployment, and maximize ROI across multiple use cases. Combines technical leadership with strategic planning, executive relationship-building, and cross-team orchestration to accelerate production-ready solutions.

Location: New Jersey

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead and own post-technical win strategy for major use cases across multiple selling teams and stakeholders, ensuring onboarding, enablement, go-live and healthy consumption.

Travel: Medium travel

Key Requirements

•5+ years of experience delivering technical projects/programs in Data & AI, with ability to contribute to technical debates and design choices with customers.

Experience:5+ yearsData & AIData analyticsCloud

Education:Bachelor's

Skills:PythonSQLScalaDatabricksSpark

Languages:English

Tech Stack:PythonSQLScalaDatabricksSpark

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

Delivery Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: New Jersey

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead and own post-technical win strategy for major use cases across multiple selling teams and stakeholders, ensuring onboarding, enablement, go-live and healthy consumption.

Travel: Medium travel

Key Requirements

•5+ years of experience delivering technical projects/programs in Data & AI, with ability to contribute to technical debates and design choices with customers.

Experience:5+ yearsData & AIData analyticsCloud

Education:Bachelor's

Skills:PythonSQLScalaDatabricksSpark

Languages:English

Tech Stack:PythonSQLScalaDatabricksSpark

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