Sr. Solutions Engineer
Lead technical engagements for customers as a Sr. Solutions Engineer at Databricks in Singapore.
Posted by employer 1 week ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 4+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Sr. Solutions Engineer at Databricks, the individual will lead technical engagements, focusing on solution design and platform demonstrations for customers. Key skills include proficiency in Python and SQL, along with experience in data engineering and cloud platforms like AWS or Azure. This position is ideal for someone with over four years of relevant experience who excels in customer-facing technical discussions and has a strong foundation in distributed data systems. Databricks emphasizes a collaborative environment, contributing to a community of technical assets.
Joblaze insights
- Listed 7 days ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 914 other open roles including Senior Payroll Analyst, Field Engineering Manager, Specialist Solutions Architects, Senior Support Engineer (GovOps) .
- 6532 active Python roles on Joblaze right now.
- 2732 active AWS roles on Joblaze right now.
- 2270 active SQL roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3235 roles). See Python salary trends
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Sr. Solutions Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, Delta Lake, GCP, Python.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Solutions Engineer role at Databricks.
From the original posting
Req: FEQ427R137
Location: Singapore
The Role
As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.
The Impact You Will Have
- Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
- Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
- Own frontline technical relationships with customer engineers, data teams, and technical leads
- Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
- Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
- Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community
What We Look For
- 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
- Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage
- Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
- Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
- Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
- Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
- Strong presentation and demo skills — you will build and present a live solution during the interview
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
- Databricks certification or experience with the Databricks Platform
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
- Background at a data/AI company, cloud provider, or technical consulting firm
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.