Databricks

3 months ago

Sr. Specialist Solutions Architect - Builder Team

✓ 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

Senior Specialist Solutions Architect for the Builder Team who designs, builds, maintains, and supports projects that extend the Databricks platform, focusing on backend services, APIs, and automation. Collaborates with Field Engineering, Product, and Platform Engineering to deliver production-ready implementations, evaluate partner solutions, and contribute to Databricks Labs tooling and infrastructure.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Build, debug, and extend internal and public infrastructure components for Databricks Labs, focusing on scalable backend services and automation.
•Implement and maintain backend services, APIs, and automation tools that integrate with the Databricks platform and ecosystems.
•Author high-quality technical documentation, design proposals, and internal guides to scale knowledge and best practices across the organization.
•Collaborate with cross-functional teams (Field Engineering, Product, Platform Engineering) to clarify requirements and deliver projects.
•Participate in code and design reviews, incident response, and contribute to reliability, observability, and developer experience for field teams.

Key Requirements

•6+ years production experience in backend or infrastructure development, with proficiency in at least two of: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required.
•Strong ability to deliver complex backend or infrastructure projects in iterative increments, balancing robustness and development speed.
•Experience embedding AI capabilities into production systems (e.g., LLMs, ML models) with reliability, observability, and security controls.
•BS/MS/PhD in Computer Science, Engineering, or related technical field, or equivalent practical experience.
•Excellent written and verbal communication, with a track record of clear technical documentation and design proposals.

Experience:6+ yearsBackendInfrastructureAIData technologies

Education:Master's

Skills:CommunicationCollaborationProblem-solvingDocumentation

Languages:English

Tech Stack:TerraformScalaGoApache SparkJavaPythonLLMsML

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

3 months ago

Sr. Specialist Solutions Architect - Builder Team

✓ 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: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Build, debug, and extend internal and public infrastructure components for Databricks Labs, focusing on scalable backend services and automation.
•Implement and maintain backend services, APIs, and automation tools that integrate with the Databricks platform and ecosystems.
•Author high-quality technical documentation, design proposals, and internal guides to scale knowledge and best practices across the organization.
•Collaborate with cross-functional teams (Field Engineering, Product, Platform Engineering) to clarify requirements and deliver projects.
•Participate in code and design reviews, incident response, and contribute to reliability, observability, and developer experience for field teams.

Key Requirements

•6+ years production experience in backend or infrastructure development, with proficiency in at least two of: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required.
•Strong ability to deliver complex backend or infrastructure projects in iterative increments, balancing robustness and development speed.
•Experience embedding AI capabilities into production systems (e.g., LLMs, ML models) with reliability, observability, and security controls.
•BS/MS/PhD in Computer Science, Engineering, or related technical field, or equivalent practical experience.
•Excellent written and verbal communication, with a track record of clear technical documentation and design proposals.

Experience:6+ yearsBackendInfrastructureAIData technologies

Education:Master's

Skills:CommunicationCollaborationProblem-solvingDocumentation

Languages:English

Tech Stack:TerraformScalaGoApache SparkJavaPythonLLMsML

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