4+ years in data engineering, solutions architecture, technical pre-sales, or consulting roles
Proficient in Python and SQL with live coding skills
Hands-on experience with data solutions on AWS, Azure, or GCP
Knowledge of distributed data systems like Apache Spark™ or Delta Lake
Experience leading technical customer conversations
Familiarity with data engineering, data science/ML, or SQL analytics
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Responsibilities
Lead technical discovery and solution design for customer workloads
Build and deliver proofs-of-concept and live demos on the Databricks Platform
Own technical relationships with customer engineers and data teams
Develop account-level technical strategies with Account Executive
Articulate Databricks differentiation through hands-on demonstrations
Contribute reusable technical assets to the broader Solutions Architect community
Benefits
Comprehensive benefits and perks tailored to employee needs
Opportunities for professional development and growth
Collaborative and innovative work environment
Access to cutting-edge technology and tools
Flexible work arrangements
Full Job Description
Sr. Solutions Engineer
Req FEQ128R76
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
BenefitsAt 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.
About Databricks
Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
