Solutions Architect Media

FEQ427R216

While candidates in the listed location(s) are encouraged for this role candidates in other locations will be considered.

At Databricks our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity experimentation and continuous improvement. You will be an essential part of this mission using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. Youll work with a collaborative customer-focused team that values innovation and creativity using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

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 presentcombining 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
• Bachelors or Masters 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

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