Senior Databricks Consulting Engineer

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.

Technical Leadership

Serve as a subject‑matter expert on Databricks capabilities and emerging data & AI technologies.

Mentor customer teams and Ultra Tendency consultants on architecture patterns and best practices.

Deliver executive presentations, technical workshops, and enablement sessions.

Contribute to reusable assets, reference architectures, and practice development initiatives.

Business Development Support

Partner with sales and account teams during strategic customer engagements.

Support technical discovery, solution positioning, and proposal development.

Provide architecture guidance during pre‑sales and proof‑of‑concept activities.

Identify opportunities for platform expansion and increased customer value.

Required Qualifications

7+ years of experience in data engineering, cloud architecture, analytics, or related fields.

3+ years working with Databricks in enterprise environments.

Strong expertise in modern data platform architecture and cloud‑native solutions.

Hands‑on experience designing and implementing Lakehouse architectures.

Strong knowledge of: Databricks Data Intelligence Platform

Apache Spark

Delta Lake

Unity Catalog

Data Governance & Security

Data Warehousing and Lakehouse Design

ETL/ELT Architectures

Data Modeling

Experience with at least one major cloud platform: Microsoft Azure (preferred)

AWS

Google Cloud Platform

Proficiency in: Python

SQL

Spark

Experience engaging with executive stakeholders and technical leadership teams.

Excellent communication and presentation skills in English & Spanish.

Preferred Qualifications

Databricks certifications such as: Databricks Certified Data Engineer Professional

Databricks Certified Solutions Architect

Databricks Certified Machine Learning Professional

Experience with: Generative AI and LLM solutions

MLflow

MLOps

Data Governance frameworks

Data Mesh architectures

Real‑time and streaming data platforms

Experience in consulting or professional services environments.

What Success Looks Like

Customers successfully adopt and scale Databricks solutions.

Complex technical challenges are resolved quickly and effectively.

Executive stakeholders view you as