Customer-Facing Data & AI Solutions Architect

Openkrill; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

Databricks is seeking a Forward Deployed Engineer to design and deliver production-grade data and AI solutions on the Databricks platform. You will own architecture, lead design decisions, and build end-to-end systems spanning data engineering, AI, and application development for diverse enterprise customers.

You will work cross-functionally with engineering, product, and developer relations to shape initiatives, embed with customer teams, and ensure scalable, secure deployments with measurable

Qualifications

• Strong years experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in Python, Scala, or JavaScript/TypeScript.
• Working knowledge of two or more 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.
• 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 preferred but not essential

Responsibilities

• Lead production solution delivery by designing and building reference architectures, custom applications and data ingestion and ML/AI model integration.
• Guide transformational big data projects with end-to-end design, build and deployment of industry-leading big data and AI applications.
• Embed with customer teams from technical ICs to executives to deeply understand challenges and deliver impact.
• Own architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices.
• Collaborate with Databricks technical team, Project Manager, Architect and Customer team to ensure engagement components are delivered.
• Work with Engineering and Databricks Customer Support to provide product feedback and guide rapid resolution for issues.
• Develop reusable accelerators, frameworks, and best practices that scale impact across accounts and influence the product roadmap.

Skills

Data engineering

Data platforms

Software engineering

Python

Scala

JavaScript/TypeScript

Cloud (AWS)

Cloud (Azure)

Cloud (GCP)

Apache Spark

CI/CD

MLOps

Architecture design

Enterprise client work

Travel 20%

Tools

Apache Spark

CI/CD tooling

Job description

Databricks is seeking a Forward Deployed Engineer to design and deliver production-grade data and AI solutions on the Databricks platform. You will own architecture, lead design decisions, and build end-to-end systems spanning data engineering, AI, and application development for diverse enterprise customers.

You will work cross-functionally with engineering, product, and developer relations to shape initiatives, embed with customer teams, and ensure scalable, secure deployments with measurable