Senior Forward Deployed Engineer – Retail

Databricks

Sr. Forward Deployed Engineer working with customers on data & AI challenges using Databricks platform.

Posted 7/22/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $182,000 - $250,208 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading customer technical projects, focusing on the design and deployment of scalable data architectures and AI applications. Proficient in engaging with stakeholders to deliver impactful solutions while ensuring alignment with best practices and customer needs.

Highest-signal resume keywords

Data EngineeringApache Spark™Python ProgrammingCloud Ecosystems (AWS, Azure, GCP)Databricks Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PlatformsSoftware EngineeringMLOpsCI/CDData Architecture DesignProduction DeploymentsMachine Learning ModelsJavaScript/TypeScript ProgrammingScala ProgrammingTechnical Project Delivery

Soft Skills

Documentation SkillsStakeholder EngagementConflict ManagementCuriosityAdaptability

Tools & Technologies

DatabricksCloud PlatformsData PipelinesAI APIsDistributed Computing

Certifications & Qualifications

Databricks Certification

Industry Keywords

Big DataAI ApplicationsTechnical DeliveryReference ArchitecturesCustomer Engagement

Tech Stack

Tools & technologies

ApacheAWSAzureBootstrapCloudGoogle Cloud PlatformJavaScriptPythonScalaSparkTypeScript

About the role

Key responsibilities & impact

Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

Requirements

What you’ll need

6+ years experience in data engineering, data platforms & analytics, or software engineering
Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Deep experience with distributed computing with 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
Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
Documentation and white-boarding skills.
Experience working with enterprise clients and managing conflicts across a broad stakeholder range
Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
Travel to customers 20% of the time
Databricks Certification

Benefits

Comp & perks

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks