Senior Data & AI Solutions Architect (Forward Deployed)

Menlo Ventures

Boston (MA)

On-site

USD 182,000 - 250,208

Full time

14 days+

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Benefits offered by this job

Equity
Bonus potential

Job summary

Databricks is seeking a Forward Deployed Engineer to build and productionize data and AI solutions on the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

You will work hands-on with customers, delivering production-grade solutions, guiding architectural choices, and ensuring secure, scalable deployments while aligning with Databricks best practices. Travel ~20% may be required.

Qualifications

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering.
  • Comfortable writing code in Python, Scala, JavaScript/TypeScript and modern frameworks.
  • 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 a broad stakeholder range
  • Build skills in technical areas and eagerness to explore new technologies to deploy Databricks-based solutions.
  • Travel to customers 20% of the time
  • Databricks Certification

Responsibilities

  • Lead architecture and design decisions for data, AI and application components.
  • Deliver production-grade systems and reference architectures for customer solutions.
  • Guide strategic customers through end-to-end design, build and deployment of big data and AI applications.
  • Collaborate with eng, product, and customer teams to ensure successful delivery and adoption.
  • Embed with customer teams to understand challenges and drive measurable impact.
  • Contribute accelerators, frameworks and best practices to scale impact across accounts.

Skills

Python
Scala
JavaScript/TypeScript
Cloud platforms
Spark
CI/CD
MLOps
Data architecture
Project delivery
Documentation
Travel

Tools

Databricks
Apache Spark

Job description

Databricks is seeking a Forward Deployed Engineer to build and productionize data and AI solutions on the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

You will work hands-on with customers, delivering production-grade solutions, guiding architectural choices, and ensuring secure, scalable deployments while aligning with Databricks best practices. Travel ~20% may be required.

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