Sr. Solutions Engineer

Databricks

Singapore

Who this role is best for

Aimed at senior-level technical professionals with hands-on cloud and data engineering experience who can lead customer engagements and build technical demonstrations.

Best fit for

Candidates with 4+ years in data engineering or technical pre-sales roles who can lead customer discovery and solution design.
— “4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role”
Individuals skilled in Python and SQL with a demonstrated ability to write production-quality code and debug in real-time.
— “Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code”
Candidates with experience designing data solutions on public cloud platforms like AWS, Azure, or GCP.
— “Hands-on experience designing and implementing data solutions on at least one public cloud platform”
Candidates who have led technical customer conversations and whiteboarded architectures.
— “Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews”

Things to consider

Live coding is a mandatory interview stage, requiring strong real-time technical execution skills.
— “live coding is a required interview stage”
The role involves direct customer engagement, which may require strong interpersonal and presentation abilities.
— “you will build and present a live solution during the interview”

How to stand out

Highlight your experience in building reusable technical assets like notebooks and reference architectures.
— “Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community”
Emphasize your ability to articulate Databricks differentiation through technical demonstrations.
— “Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations”
Demonstrate your ability to architect solutions using distributed data systems like Apache Spark or Delta Lake.
— “Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent”
Showcase your experience with data engineering, analytics, or ML workflows in your resume and interview.
— “Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

led technical engagements for customers
developed technical strategies for platform growth

Typical background

data engineeringsolutions architecturetechnical pre-sales

Skills & requirements

Required

Technical Pre-salesSolution DesignPlatform DemonstrationsCustomer Relationship ManagementTechnical Strategies

Preferred

Databricks Platform Experience

Stack & domain

PythonSQLApache SparkDelta LakePresentationDemoDatabricks CertificationData EngineeringData ScienceAnalytics

About the role

Original posting from Databricks

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.

Source: Databricks careers