Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB
Core
Design and build reference architectures, implement production use cases, and guide strategic customers through end-to-end big data journeys on the Databricks platform for Emerging Enterprise & Digital Native clients in EMEA.
Role type
Senior Solutions Architect (Professional Services)
Builds
Production data engineering, data science, and cloud technology projects using Databricks
Domain
Big Data & AI on Cloud (AWS, Azure, GCP)
Deliverable
production ML models | product features
Required skills
Data engineering, distributed computing with Apache Spark, Python or Scala, Cloud ecosystems (AWS/Azure/GCP), CI/CD, MLOps, technical project delivery, documentation, client management
Preferred skills
Databricks Certification
Technologies
Databricks, Apache Spark, Delta Lake, MLflow, AWS, Azure, GCP
Responsibilities
Design and build reference architectures for big data challenges; Collaborate with Engagement Managers to define project scope and deliverables; Guide customers through migrating from legacy platforms to Databricks; Provide thought leadership on solution design and implementation strategies; Serve as an escalation point for operational issues; Partner with cross-functional teams to align on milestones; Provide implementation insights to product teams.
Seniority
Senior, hands-on IC
