Consulting Engineer
Posted 19 Jun 2026
Advertised as “Senior Databricks Consulting Engineer (m/f/*)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Visa sponsorship
- Not offered
No salary listed for this role.
CertificationsDatabricks Certified Data Engineer Professional, Databricks Certified Solutions Architect, Databricks Certified Machine Learning Professional
About Ultra Tendency
Ultra Tendency 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.
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.
The Role
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 skills to ensure customers realize measurable value from their Databricks investments. Working alongside client teams, executives, engineers, and Ultra Tendency consultants, you will lead architecture decisions, promote best practices, and drive successful adoption of the Databricks Lakehouse Platform.
This is a highly customer-facing role requiring both hands-on technical capability and executive-level communication skills.
Key Responsibilities
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 requirements 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.