[Closed] Specialist Solutions Architect - Platform Security and Cloud Infrastructure at Databricks (Paris)

This position is no longer accepting applications.

Databricks

1 month ago

Specialist Solutions Architect - Platform Security and Cloud Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 36 minutes agoStatus: Closed

Job Summary

Guide enterprise customers in architecting production-grade ML and AI applications on Databricks, aligning technical roadmaps with the Data Intelligence Platform. Leverage GenAI, MLOps, and cutting-edge AI tech; mentor peers; establish thought leadership while partnering with Solution Architects to deliver scalable ML/AI solutions. Based in Paris with up to 30% travel; focus on impactful, enterprise-grade AI workloads across domains.

Location: Paris

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Architect production-level ML & AI workloads for customers on Databricks, including end-to-end ML pipelines, training/inference optimization, and MLOps integration
•Serve as a trusted practitioner for enterprise GenAI solutions, covering RAG architectures, agentic systems, natural language querying of structured data, AI evaluation/observability, and monitoring
•Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize across domains
•Provide advanced technical support to Solution Architects during technical sales, including feature engineering, training, tracking, serving, and model monitoring
•Collaborate cross-functionally with product and engineering teams to represent customer voices, define priorities, and influence the product roadmap for Databricks AI offerings

Travel: Medium travel

Key Requirements

•7+ years hands-on ML experience in ML Engineer or AI Engineer roles (production-grade cloud infrastructure, drift monitoring)
•Experience with data engineering or strong understanding of data engineering concepts
•Experience communicating and/or teaching technical concepts to both non-technical and technical audiences
•5+ years customer-facing experience in a pre-sales or post-sales role (preferred)
•Ability to meet role-specific outcomes within 3 months of hire

Experience:7+ yearsMachine learningAICloud computing

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:AWSAzureGCPHuggingFaceLangchainOpenAILLMsVector databasesMLOps

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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This position is no longer accepting applications.

Databricks

1 month ago

Specialist Solutions Architect - Platform Security and Cloud Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 36 minutes agoStatus: Closed

Job Summary

Location: Paris

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Architect production-level ML & AI workloads for customers on Databricks, including end-to-end ML pipelines, training/inference optimization, and MLOps integration
•Serve as a trusted practitioner for enterprise GenAI solutions, covering RAG architectures, agentic systems, natural language querying of structured data, AI evaluation/observability, and monitoring
•Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize across domains
•Provide advanced technical support to Solution Architects during technical sales, including feature engineering, training, tracking, serving, and model monitoring
•Collaborate cross-functionally with product and engineering teams to represent customer voices, define priorities, and influence the product roadmap for Databricks AI offerings

Travel: Medium travel

Key Requirements

•7+ years hands-on ML experience in ML Engineer or AI Engineer roles (production-grade cloud infrastructure, drift monitoring)
•Experience with data engineering or strong understanding of data engineering concepts
•Experience communicating and/or teaching technical concepts to both non-technical and technical audiences
•5+ years customer-facing experience in a pre-sales or post-sales role (preferred)
•Ability to meet role-specific outcomes within 3 months of hire

Experience:7+ yearsMachine learningAICloud computing

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:AWSAzureGCPHuggingFaceLangchainOpenAILLMsVector databasesMLOps

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