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 about a month ago — first seen on Joblaze September 5, 2026. Last confirmed on Databricks's careers page October 28, 2026.
This exact title is also open at 1 other location at Databricks: Stockholm, Sweden.

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

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Sr. Solutions Engineer

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