Senior Data & AI Solutions Architect

Databricks; New York (NY); On-site; USD 182,000 - 250,000; Full time

Job summary

Databricks in New York seeks a Forward Deployed Engineer to partner with customers, owning architecture, leading design decisions, and delivering end-to-end data, AI, and application integrations on the Databricks platform.

This hands-on role blends engineering with business impact, embedding with client teams, traveling up to 20%, and shaping reference architectures while building scalable solutions and accelerators.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in Python, Scala, 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 production end-to-end data architectures and applications combining 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 stakeholders
• Travel to customers 20% of the time
• Databricks Certification

Responsibilities

• 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
• Bootstrap or implement customer projects which leads to successful understanding, evaluation and adoption of Databricks
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices
• Collaborate with Databricks engineers, project managers, architects and customer teams to deliver engagement components
• Provide product and implementation feedback to guide rapid resolution of issues and improve customer outcomes
• Embed with customer teams to understand challenges and deliver measurable impact
• Contribute accelerators, frameworks, and best practices that scale across accounts and influence the product roadmap

Skills

Data engineering

Distributed systems

Python

Scala

JavaScript/TypeScript

MLOps knowledge

Architecture design

Customer engagement

Tools

Apache Spark

CI/CD tools

Databricks Platform

Job description

Databricks in New York seeks a Forward Deployed Engineer to partner with customers, owning architecture, leading design decisions, and delivering end-to-end data, AI, and application integrations on the Databricks platform.

This hands-on role blends engineering with business impact, embedding with client teams, traveling up to 20%, and shaping reference architectures while building scalable solutions and accelerators.