About this role
Complex enterprise data environments often struggle to unify multi-workload platforms, real-time systems, and large-scale AI initiatives without deep technical guidance. To solve this challenge, Databricks seeks a Senior Solutions Architect in Singapore to steer the organization's most intricate customer engagements and technical strategies.
In this capacity, the person will act as the definitive technical authority, owning executive-level relationships and driving platform consumption across major accounts. Candidates must possess a strong background in enterprise data architecture and executive stakeholder management to help clients successfully execute large-scale data and AI strategies.
What you will do
- Lead technical and consumption strategies for the most complex customer engagements to influence platform adoption and revenue growth.
- Serve as a trusted advisor on enterprise data and AI strategy while building senior-level technical relationships.
- Design multi-workload platforms, enterprise-wide migrations, real-time systems, and large-scale artificial intelligence applications.
- Position the company effectively against incumbent and emerging platforms by developing and executing competitive strategies.
- Coordinate cross-functional groups including data specialists, solution architects, partners, and product teams to deliver enterprise-grade solutions.
- Coach junior team members on technical depth, customer engagement, and use case prioritization.
- Contribute to field engineering thought leadership through workshops and customer-facing content.
What you need
- Bring at least eight years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or senior customer-facing technical roles.
- Demonstrate expert-level coding proficiency in Python and SQL, alongside familiarity with Spark or PySpark.
- Possess deep expertise in enterprise data architecture, distributed systems at scale, streaming and real-time processing, lakehouse design patterns, and data governance frameworks.
- Maintain expert-level knowledge of the Databricks platform or demonstrate equivalent depth in competing platforms with rapid learning ability.
- Hold a declared technical specialization with recognized depth in areas such as real-time architectures, machine learning platforms, or large-scale migrations.
- Exhibit executive presence and the ability to influence directors, vice presidents, and C-level stakeholders.
- Possess a Bachelor's or Master's degree in Computer Science, Engineering, a quantitative discipline, or equivalent practical experience.
Nice to have
- Databricks certifications
- Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data and AI company
- Published thought leadership such as blogs, conference talks, or open source contributions
- Industry vertical expertise with executive-level domain credibility
Skills and tech stack
Questions candidates ask
What technical skills and coding proficiency are required for the role?
Candidates need expert-level coding proficiency in Python, SQL, and ideally Spark or PySpark. The evaluation process includes completing a live coding assessment and a platform build.
What does the interview process look like?
The evaluation consists of a recruiter screen, a hiring manager screen, a design and architecture interview, a live coding assessment, and a final build, demo, pitch presentation followed by a reference check.
What kind of experience is expected from applicants?
Applicants must have at least eight years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role. They also need deep expertise in enterprise data architecture and distributed systems at scale.