Client-Facing Data & AI Solutions Engineer

Fdetimes

Amsterdam

Hybrid

EUR 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Databricks Certification

Job summary

Databricks is hiring a Forward Deployed Engineer to work with customers on data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This hands-on, customer-facing role builds production-grade solutions with a strong focus on customer impact. You will embed with client teams, guide architecture choices, and deliver accelerators and best practices to scale

Qualifications

  • Extensive experience in data engineering, data platforms & analytics, or software engineering.
  • Proficiency 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 using Apache Spark.
  • Familiarity with CI/CD for production deployments.
  • Working knowledge of MLOps, ML/AI models and AI APIs.
  • Design and deployment of production-grade end-to-end data architectures and apps.
  • Experience delivering technical projects with scope, timelines and measurable outcomes.
  • Strong documentation and white-boarding skills.
  • Experience with enterprise clients and broad stakeholder management.
  • Curiosity and adaptability to explore new technologies and Databricks solutions.
  • Travel to customers 20% of the time.
  • Databricks Certification.

Responsibilities

  • Production Solution Delivery: lead projects by delivering production-grade systems and reference architectures.
  • Transformational Impact: guide customers through end-to-end design, build and deployment of big data and AI apps.
  • Empower Customers: coach on architecture and design and drive adoption of Databricks.
  • Own the Architecture: lead decisions for secure, scalable solutions aligned with customer needs.
  • Collaborate with Databricks teams to ensure delivery meets customer requirements.
  • Work with engineering and support to provide feedback and rapid issue resolution.
  • Customer Immersion: embed with customer teams and stakeholders from ICs to executives.
  • Produce reusable assets, accelerators, and best practices to scale impact.

Skills

Data engineering
Data platforms & analytics
Software engineering
Python
Scala
JavaScript/TypeScript
Cloud platforms
Spark / Apache Spark
CI/CD
MLOps
Travel willingness

Tools

Spark

Job description

Databricks is hiring a Forward Deployed Engineer to work with customers on data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This hands-on, customer-facing role builds production-grade solutions with a strong focus on customer impact. You will embed with client teams, guide architecture choices, and deliver accelerators and best practices to scale

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