Sr. Solutions Engineer
Job description
About the role
You will serve as a technical advisor, helping clients navigate complex data challenges using the Databricks Data Intelligence Platform. This role requires you to act as a trusted consultant who translates intricate technical capabilities into clear business outcomes for executive stakeholders. You will work in close partnership with account executives and senior architects to design custom solutions that drive measurable business value and strategic alignment. The position demands a balance of deep technical expertise and commercial awareness to guide clients through critical decision-making processes. You will own the technical narrative from initial discovery through to solution validation and adoption planning. This position is positioned as a career track that progresses toward an independent Solutions Architect role through mastery of pre-sales and technical development responsibilities. You will be instrumental in shaping the perception of Databricks as the definitive platform for data and AI innovation in the enterprise.
Key facts
What you'll do
- Build and maintain client relationships within your assigned territory to provide both technical and business guidance, ensuring alignment with strategic objectives.
- Conduct hands-on evaluations and Spark programming sessions to demonstrate platform capabilities, debugging performance issues in real time for stakeholders.
- Integrate Databricks with third-party applications and broader cloud ecosystems, ensuring seamless data flows and interoperability across the technology landscape.
- Create technical content including reference architectures, how-to guides, and demonstration applications that serve as reusable assets for the sales organization.
- Participate in industry workshops, meet-ups, and seminars to support the technical community and establish thought leadership in data and AI best practices.
- Progress toward an independent Solutions Architect role through progressive ownership of complex pre-sales activities and technical development initiatives.
- Perform detailed technical discovery sessions to uncover latent customer pain points and translate them into actionable solution hypotheses.
- Leverage advanced analytics and machine learning concepts within the Databricks environment to prototype high-value use cases for skeptical audiences.
- Collaborate with product management and engineering teams to provide critical feedback from the field that influences platform roadmaps and feature enhancements.
- Act as a technical escalation partner for complex implementation hurdles, ensuring that pre-sales promises are grounded in delivery feasibility.
- Mentor junior technical staff and new hires on effective communication strategies and technical demonstration techniques within the sales environment.
- Drive the creation of compelling proof-of-concept projects that de-risk adoption and accelerate the sales cycle for strategic accounts.
Requirements
- Proficiency in at least one core programming language: Python, Java, or Scala, with the ability to write clean, maintainable code under pressure.
- Experience in a Big Data Analytics domain, including exposure to advanced proofs-of-concept that showcase performance at scale.
- Understanding of at least one major public cloud platform, including its networking, storage, and compute service models.
- Ability to independently deliver technical propositions and identify customer pain points through structured discovery and questioning techniques.
- Skill in communicating technical narratives and aligning agendas with business interests, ensuring that technical details support commercial outcomes.
- Experience in solution architecture and design, including the ability to balance trade-offs between cost, performance, and time-to-value.
- Demonstrated ability to work autonomously in a fast-paced, matrixed environment where priorities shift based on client needs and market demands.
- Willingness to travel regionally to support key customer initiatives, engage with technical audiences, and strengthen partner relationships where required.
Skills & tools
- Python
- Java
- Scala
- Big Data Analytics
- Cloud platforms
- Solution architecture
Nice to have
There are no additional preferred qualifications or skills specified in the source material beyond the core requirements and technical proficiencies already outlined. The selection criteria are focused on demonstrable experience and technical fluency rather than supplementary certifications or niche specializations.
Practical notes
- Databricks may require a U.S. government license for roles involving access to export-controlled technology or source code; the company reserves the right to decline applicants based on this requirement, ensuring compliance with international regulations and security protocols.
- The company maintains a commitment to equal employment opportunity and inclusive hiring practices, encouraging applications from diverse candidates and ensuring that selection decisions are based solely on merit and professional qualifications.
- This is a full-time engagement based in Singapore, with potential regional travel expectations as part of client responsibilities and industry event participation.
- No specific visa sponsorship details or precise compensation figures are provided in the source documentation; interested candidates should clarify these elements directly with the recruiting team during the application process.
- Applicants must meet the hard requirements regarding programming language proficiency, cloud platform understanding, and solution architecture experience to be considered for progression through the hiring pipeline.
- The role is tagged with requirement ID FEQ327R555 for internal tracking purposes, ensuring that all submissions are evaluated against the standardized criteria established by the hiring committee.
- Candidates should prepare to demonstrate hands-on Spark programming capabilities during the interview process, as this is a central component of the technical evaluation for this position.
- The successful candidate will be expected to contribute to the growth of the technical community by participating in workshops and knowledge-sharing sessions that extend beyond immediate sales responsibilities.
- This position represents a critical interface between technology and business, requiring the incumbent to operate effectively at both strategic and tactical levels of organizational engagement.
- The ability to manage multiple concurrent initiatives while maintaining attention to detail and delivery quality is essential for success in this role.
- Prospective applicants are encouraged to highlight specific examples of past work that illustrate their capacity to solve complex problems under constraints and communicate outcomes to non-technical audiences.