Senior Forward Deployed Engineer

Databricks

. Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations .

Posted 11/5/2026full-timeRemote • United StatesSenior💰 $182,000 - $250,208 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading technical projects focused on data engineering and AI solutions, with a strong emphasis on architecture design, cloud ecosystems, and collaboration with diverse stakeholders. Proficient in delivering scalable, secure systems using the Databricks platform and modern programming languages.

Highest-signal resume keywords

Data EngineeringPython ProgrammingApache SparkDatabricks PlatformMLOps

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PlatformsAnalyticsSoftware EngineeringCloud EcosystemsCI/CDML/AI ModelsData ArchitecturesProduction DeploymentsTechnical Project DeliveryDocumentation

Soft Skills

Stakeholder EngagementConflict ManagementCollaboration

Tools & Technologies

AWSAzureGCPDatabricksAI APIs

Certifications & Qualifications

Databricks Certification

Industry Keywords

Public Trust ClearanceBig DataTransformational ProjectsEnd-to-End DesignData Ingestion

Tech Stack

Tools & technologies

ApacheAWSAzureBootstrapCloudGoogle Cloud PlatformJavaScriptPythonScalaSparkTypeScript

About the role

Key responsibilities & impact

Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations
Guide federal, state, and local government customers through transformational big data and AI projects, including end-to-end design, build, and deployment
Work with engagement managers to scope technical delivery work based on customer input
Guide customers on architecture and design; bootstrap or implement projects supporting Databricks adoption
Own architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices
Collaborate with Databricks technical teams, project managers, architects, and customer teams to deliver technical components
Work with engineers and customer support to provide product and implementation feedback and resolve engagement-specific issues
Embed with customer teams and engage stakeholders from technical individual contributors to executives
Contribute accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap
Build and productionize data and AI solutions using the Databricks platform

Requirements

What you’ll need

Eligibility for a U.S. government Public Trust, Secret and/or Top Secret clearance to access classified information; candidates interested and eligible to obtain an active Public Trust or higher clearance are strongly encouraged to apply
5+ years experience in data engineering, data platforms & analytics, or software engineering
Fluency writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks
Working knowledge of at least two common cloud ecosystems (AWS, Azure, GCP), with expertise in at least one
Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals
Familiarity with CI/CD for production deployments
Working knowledge of MLOps, ML/AI models, and AI APIs
Experience designing and deploying performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces
Experience with technical project delivery, documentation, and white-boarding
Experience working with enterprise clients and managing conflicts across a broad stakeholder range
25% travel to client sites
Preferred: 8+ years experience, Databricks Certification, and expertise in MLOps, ML/AI models, and AI APIs

Benefits

Comp & perks

Annual performance bonus eligibility
Equity eligibility
Comprehensive benefits and perks (specific regional details provided by Databricks)