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 APJ & EMEA.
The RoleAs 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 ResponsibilitiesCustomer 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Additional language skills in German, Spanish, Portuguese, Japanese, Korean or Chinese are highly desirable.
- Customers successfully adopt and scale Databricks solutions.
- Complex technical challenges are resolved quickly and effectively.
- Executive stakeholders view you as a trusted advisor.
- Best practices are consistently applied across customer environments.
- Customer satisfaction, platform utilization, and business outcomes improve measurably.
- Work with leading enterprise customers across APJ & EMEA.
- Be part of a rapidly growing Data & AI consultancy.
- Access to cutting-edge technologies in Data Engineering, Analytics, AI, and GenAI.
- Opportunity to shape and expand Ultra Tendency's Databricks practice.
- Continuous learning and certification support.
- Flexible and remote-friendly working environment.
- Competitive compensation package.
- Collaborative, entrepreneurial, and international culture.
Applicants must currently reside in Singapore and possess the legal right to work in the country. Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position.
Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations—including the European Central Bank, Deutsche Telekom, and Europe’s largest automotive manufacturer—build and operate large-scale, data-driven platforms.
With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner.
At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support.
We evaluate candidates based on skills, experience, and business fit, and welcome applicants from all backgrounds.
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