Databricks Resident Solutions Architect
Designs and implements scalable data platforms using Databricks for enterprise clients, advising on architecture, governance, and AI solutions while collaborating with cross-functional teams.
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Architecture
- Posted
Skills
Must have
- 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:
- Experience with at least one major cloud platform:
- Proficiency in:
- Experience engaging with executive stakeholders and technical leadership teams.
- Excellent communication and presentation skills in English.
Nice to have
- Databricks certifications such as:
- Experience with:
- Experience in consulting or professional services environments.
- Additional language skills in German, Spanish, Portuguese, Japanese, Korean or Chinese are highly desirable.
Full description
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 Databricks Resident Solutions Architect (RSA) to work closely with our clients and delivery teams across APJ & EMEA.
The Role
As a Databricks Resident Solutions Architect, 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.