About the Role
As a Databricks Resident Solutions Architect, you will serve as a trusted technical advisor and strategic partner to enterprise customers, guiding them through their data and AI transformation journeys on the Databricks Lakehouse Platform. This customer-facing role requires deep technical expertise, strong stakeholder management, and executive-level communication skills to ensure customers realize measurable value from their Databricks investments.
Responsibilities
- 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.
Requirements
- 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.
- Experience engaging with executive stakeholders and technical leadership teams.
- Excellent communication and presentation skills in English.
- Applicants must currently reside in Australia and possess the legal right to work in the country.
Skills
- Databricks Data Intelligence Platform
- Apache Spark
- Delta Lake
- Unity Catalog
- Data Governance & Security
- Data Warehousing and Lakehouse Design
- ETL/ELT Architectures
- Data Modeling
- Microsoft Azure
- AWS
- Google Cloud Platform
- Python
- SQL
- Spark
- Generative AI
- LLM solutions
- MLflow
- MLOps
- Data Governance frameworks
- Data Mesh architectures
- Real-time and streaming data platforms
Location
- Australia
Work Type
- Remote
Experience Level
- 7+ years of experience
- 3+ years working with Databricks
Education Level
- Databricks Certified Data Engineer Professional
- Databricks Certified Solutions Architect
- Databricks Certified Machine Learning Professional
Benefits
- 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.
About the Company
- 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.
- 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.
Equal Opportunity
- We evaluate candidates based on skills, experience, and business fit, and welcome applicants from all backgrounds.
