Solutions Architect – Media

Databricks

Solutions Architect helping Databricks customers solve complex data and AI challenges. Designing solutions, building proofs-of-concept, and demonstrating the Databricks Data + AI Platform.

Posted 8/18/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $152,300 - $209,450 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering and solutions architecture, with proficiency in Python and SQL for developing production-quality code. Capable of leading technical customer engagements and delivering compelling presentations on the Databricks Platform.

Highest-signal resume keywords

Data EngineeringSolutions ArchitecturePython ProficiencySQL ProficiencyDatabricks Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSolutions ArchitecturePythonSQLApache SparkDelta LakeHadoopKafkaFlinkLive Coding

Soft Skills

Presentation SkillsCustomer EngagementTechnical Communication

Tools & Technologies

DatabricksAWSAzureGCPUnity CatalogLakeflow Spark Declarative PipelinesMLflow

Certifications & Qualifications

Databricks Certification

Industry Keywords

Data/AI CompanyCloud ProviderTechnical Consulting

Tech Stack

Tools & technologies

ApacheAWSAzureCloudGoogle Cloud PlatformHadoopKafkaPythonSparkSQLUnity

About the role

Key responsibilities & impact

Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
Build and deliver proofs-of-concept and live demos on the Databricks Platform
Own frontline technical relationships with customer engineers, data teams, and technical leads
Develop account-level technical strategies with the Account Executive to grow platform consumption
Articulate Databricks differentiation through hands-on demonstrations in competitive situations
Contribute reusable technical assets, including notebooks, solution accelerators, and reference architectures
Conduct discovery, whiteboarding, and architecture reviews with customers
Build and present a live solution during the interview process

Requirements

What you’ll need

4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting
Proficiency in Python and SQL; 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 AWS, Azure, or GCP
Working knowledge of distributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, or Flink
Experience leading technical customer conversations, including discovery, whiteboarding, and architecture reviews
Familiarity with data engineering, data science/machine learning, or SQL analytics
Strong presentation and demo skills; live solution presentation required during interview
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience
Databricks certification or Databricks Platform experience is a plus
Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow is a plus
Background at a data/AI company, cloud provider, or technical consulting firm is a plus

Benefits

Comp & perks

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks, with region-specific details provided by Databricks