Senior Databricks Consulting Engineer (m/f/*)

Job summary

ABOUT Ult*** Ult*** is a leading data and AI consultancy helping organizations accelerate digital transformation through modern data platforms, advanced analytics, and AI-driven solutions. As a trusted partner to enterprise customers across Europe, we specialize in delivering cloud-native data architectures and scalable solutions that unlock business value.

Qualifications

• We are expanding our Databricks practice and are looking for an experienced Senior Databricks Consulting Engineer to work closely with our clients and delivery teams across EMEA.
• into technical solutions and implementation plans.
• Advise customers on platform modernization, cloud migration, data governance, and AI initiatives.
• SOLUTION DELIVERY & OPTIMIZATION
• Support the successful implementation and adoption of Databricks solutions.
• Review data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization.
• Identify and resolve technical blockers during customer engagements.
• Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations.
• TECHNICAL LEADERSHIP
• Serve as a subject matter expert on Databricks capabilities and emerging data & AI
• 7+ years of experience in data engineering, cloud architecture, analytics, or related fields.
• 3+ years working with Databricks in enterprise environments.

Responsibilities

• As a Senior Databricks Consulting Engineer, you will serve as a trusted technical advisor and strategic partner to enterprise customers.
• You will guide organizations through their data and AI transformation journeys, helping them design, implement, and optimize modern data platforms built on Databricks.
• You will combine deep technical expertise with strong stakeholder management
• CUSTOMER ADVISORY & ARCHITECTURE
• Act as the primary technical advisor for strategic Databricks customers.
• Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform.
• Lead architecture workshops, solution design sessions, and technical roadmap discussions.
• Translate business

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