About this role
The Databricks team builds a unified data and AI platform relied upon by organizations worldwide to scale analytics, data engineering, and artificial intelligence applications. The Solutions Architect oversees the technical strategy for client accounts in Singapore, steering platform adoption and shaping architecture for data engineering, real-time analytics, and machine learning initiatives. This practitioner acts as a trusted advisor to technical leads, guides competitive evaluations, and develops a distinct domain specialization recognized across the team.
Candidates applying for this opening should bring a solid background in technical pre-sales, data engineering, or solutions architecture, combined with strong coding skills in Python and SQL. Successful practitioners combine distributed systems expertise with the ability to translate complex architectures into business value for senior decision-makers.
What you will do
- Lead the end-to-end technical strategy for assigned accounts from discovery through production deployment.
- Design scalable architectures covering data engineering, machine learning, and real-time streaming analytics.
- Advise customer engineering leads and architects on best practices for cloud-native data platforms.
- Drive technical wins in competitive scenarios by building custom solutions that demonstrate platform differentiation.
- Coordinate cross-functional resources including partners and specialized architects to deliver comprehensive client solutions.
- Provide structured product feedback regarding customer requirements and competitive gaps to influence product direction.
What you need
- Bring six or more years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Demonstrate strong coding proficiency in Python and SQL through live coding, debugging, and solution-building.
- Possess deep expertise in distributed data systems architecture, including lakehouse patterns, streaming architectures, and scalable pipelines.
- Show proficiency on the Databricks Platform or a demonstrated ability to achieve proficiency rapidly with an emerging technical specialization.
- Lead architecture discussions with senior stakeholders involving whiteboarding, design reviews, and trade-off analysis.
- Manage production deployments on public cloud environments such as AWS, Azure, or GCP with attention to security and governance.
- Hold a Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or possess equivalent experience.
Nice to have
- Databricks certifications in Data Engineer, ML, or Platform
- Experience with competitive platforms such as Snowflake, AWS native services, or Azure Synapse
- Background working at a cloud provider or a data and AI company
- Industry domain expertise in sectors like Financial Services, Healthcare, Retail, or Media
Skills and tech stack
Questions candidates ask
Where is this job located?
The position is based in Singapore, operating out of Databricks' regional presence.
What technical skills are tested during the hiring process?
Candidates must demonstrate coding proficiency in Python and SQL, and participate in a live coding assessment alongside a design and architecture interview.
What does the interview process involve?
The evaluation includes a recruiter screen, hiring manager screen, design and architecture interview, live coding assessment, and a build, demo, pitch presentation followed by a reference check.
What background is required for this role?
Applicants need six or more years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.