Sr. Solutions Engineer

Databricks; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Databricks is seeking a Sr. Solutions Engineer in Singapore to independently lead technical engagements, own discovery, design solutions, and deliver platform demos.

You will build PoCs, own frontline customer relationships, and collaborate with Account Executives to expand platform usage. You should have 4+ years in data engineering or related roles, be proficient in Python/SQL with live coding, and have hands-on experience on AWS/Azure/GCP with Spark/Delta Lake.

Qualifications

• 4+ years in data engineering, solutions architecture, pre-sales, or hands-on consulting.
• Proficient in Python and SQL with production-ready code; live coding required.
• Experience designing data solutions on AWS, Azure or GCP.
• Working knowledge of distributed data systems (Spark, Delta Lake, or equivalents).
• Experience leading technical customer conversations (discovery, architecture reviews).

Responsibilities

• Lead technical engagements from discovery through solution design and live demos.
• Build proofs-of-concept and demos on the Databricks Platform to win technical decisions.
• Own frontline technical relationships with customer engineers and data teams.
• Develop account-level technical strategies with the Account Executive to grow usage.
• Articulate Databricks differentiation through hands-on demonstrations.
• Contribute reusable technical assets to the community.

Skills

Python

SQL

Live coding

Cloud data solutions

Education

Bachelor's or Master's in CS/Engineering

Tools

Apache Spark

Delta Lake

MLflow

Job description

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.