Skip to content

Forward Deployed Engineer - Emerging Enterprise & DNB

Delivers and productionizes customer data and AI solutions on the Databricks platform, owning architecture, implementation, and technical project outcomes. The role requires extensive data or software engineering experience, cloud expertise, Apache Spark, CI/CD, and MLOps knowledge, with a customer-facing delivery focus.

About the job

Responsibilities

  • Lead impactful customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
  • Guide strategic customers through end-to-end design, development, deployment, and adoption of big data and AI applications.
  • Scope technical delivery work with engagement managers and customer stakeholders.
  • Guide customers on architecture and design, and bootstrap or implement customer projects.
  • Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • Collaborate with Databricks technical teams, project managers, architects, and customer teams to deliver engagement components.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and resolve engagement-specific issues.
  • Embed with customer teams and engage stakeholders from technical individual contributors through executives.
  • Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the product roadmap.
  • Travel to customers approximately 20% of the time.

Requirements

  • Extensive experience in data engineering, data platforms and analytics, or software engineering.
  • Ability to write code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • Working knowledge of at least two major cloud ecosystems, with expertise in one or more of AWS, Azure, and GCP.
  • Deep experience with distributed computing using 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.
  • Experience designing and deploying performant, production-grade end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
  • Experience delivering technical projects, including managing scope, timelines, and measurable outcomes and translating complex concepts into actionable solutions.
  • Documentation and whiteboarding skills.
  • Experience working with Emerging Enterprise and Digital Native businesses and managing conflicts across broad stakeholder groups.
  • Curiosity, adaptability, and eagerness to explore technologies that support the deployment and integration of Databricks-based solutions.
  • Databricks Certification.

Benefits

  • Comprehensive benefits and perks are offered, with details varying by region.

Skills

Python, Scala, JavaScript, TypeScript, AWS, Microsoft Azure, GCP, Spark, CI/CD, MLOps, Machine Learning, Ai Apis, Data Engineering, Data Pipelines, Databricks

Plenful

Plenful

Remote

Healthcare Solutions Consultant
No salary listedRemoteSolutions Architecture

Leads solution discovery, demonstrations, pilots, and value storytelling for enterprise healthcare software sales. The role requires deep healthcare expertise—especially 340B—and experience guiding complex stakeholders from evaluation through implementation.

Stripe

Stripe

London, United Kingdom

Solutions Architect, Metronome
No salary listedOn-site3+ YOESolutions Architecture

Own technical sales and implementation engagements for AI-first customers launching usage-based billing. The role combines discovery, demos, proof-of-concepts, hands-on integrations, and consultative guidance for technical founders and engineering, product, and finance teams.

Databricks

Databricks

Berlin, Germany
Solutions Architect - CustomerLake
No salary listedOn-site5+ YOESolutions Architecture

Leads customer-facing architecture, demonstrations, proofs of concept, and implementation guidance for an agentic customer data platform. Requires 5+ years in CDP, MarTech, or customer data engineering, including substantial pre-sales or consulting experience.

OpenLoop

OpenLoop

Remote

Implementation Manager
No salary listedRemote3+ YOESolutions Architecture

Owns hands-on technical implementations for external healthcare technology customers, including platform configuration, integrations, data migration, testing, deployment, go-live, and stabilization. Requires 3+ years of implementation or integration experience, strong SQL and API troubleshooting skills, and customer-facing technical communication.

Ironclad

Ironclad

London, United Kingdom

Technical Adoption Architect, EMEA
No salary listedHybrid4+ YOESolutions Architecture

Technical Adoption Architects guide enterprise customers from proof of value through implementation and adoption by designing contracting workflows, integrations, and AI-enabled solutions. The role requires 4+ years of software professional services or consulting experience, strong discovery and solution-design skills, and practical AI fluency.