Databricks

3 months ago

Sr. Delivery Solutions Architect - AI Native

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Delivery-focused technical leader driving post-sale success for AI/data workloads at Databricks. Collaborates with sales and field engineering to accelerate adoption, leads technical account strategies across major use cases, and coordinates cross-functional teams to ensure production readiness, onboarding, and ongoing value realization for large customers.

Location: California, Colorado, Oregon, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Engage with Solutions Architects to understand the full use case demand plan for prioritized customers and translate it into actionable delivery plans.
•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 customers across multiple teams, ensuring onboarding, enablement, success, go-live and healthy consumption of workloads.
•Be the first contact for any technical issues related to production/go live status of agreed use cases within an account, often servicing multiple use cases in large organizations.
•Coordinate with Shared Services, User Education, Onboarding/Technical Services and Support resources, escalating to expert-level specialists when needed to complete tasks beyond scope.

Travel: Medium travel

Pay and Benefits

Perks:Remote Work

Key Requirements

•7+ years of experience accountable for technical project or program delivery within Data and AI, contributing to technical debate and design with 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.
•Technical program or project management including account, stakeholder and resource management accountability.

Experience:7+ yearsDataAIDatabricksLakehouse

Education:Bachelor's

Skills:PythonSQLScalaDatabricksLakehouse

Languages:English

Tech Stack:PythonSQLScalaDatabricksLakehouse

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

3 months ago

Sr. Delivery Solutions Architect - AI Native

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: California, Colorado, Oregon, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Engage with Solutions Architects to understand the full use case demand plan for prioritized customers and translate it into actionable delivery plans.
•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 customers across multiple teams, ensuring onboarding, enablement, success, go-live and healthy consumption of workloads.
•Be the first contact for any technical issues related to production/go live status of agreed use cases within an account, often servicing multiple use cases in large organizations.
•Coordinate with Shared Services, User Education, Onboarding/Technical Services and Support resources, escalating to expert-level specialists when needed to complete tasks beyond scope.

Travel: Medium travel

Pay and Benefits

Perks:Remote Work

Key Requirements

•7+ years of experience accountable for technical project or program delivery within Data and AI, contributing to technical debate and design with 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.
•Technical program or project management including account, stakeholder and resource management accountability.

Experience:7+ yearsDataAIDatabricksLakehouse

Education:Bachelor's

Skills:PythonSQLScalaDatabricksLakehouse

Languages:English

Tech Stack:PythonSQLScalaDatabricksLakehouse

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