Senior Solutions Engineer – AI Natives Business

Databricks

. Shape the future of the big data landscape by supporting sophisticated data engineering and data science teams .

Posted 11/5/2026full-timeRemote • California • United StatesSenior💰 $180,000 - $247,500 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 data science, with a strong focus on building distributed data systems and implementing solutions using the Databricks platform. Proficient in Python and SQL, with experience in cloud services and big data technologies.

Highest-signal resume keywords

Data EngineeringPython ProgrammingSQL AnalysisDatabricks PlatformCloud Services

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringData ScienceMachine LearningDistributed Data SystemsPython ProgrammingSQL AnalysisSparkHadoopKafkaPandas

Soft Skills

CollaborationTechnical LeadershipCustomer EngagementConsulting

Tools & Technologies

DatabricksAWSAzureGCPMLflowDelta LakePyTorchTensorFlowAPIs

Certifications & Qualifications

Databricks Certification

Industry Keywords

Big DataData ArchitectureProofs of ConceptTechnical ArchitecturePre-sales Consulting

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopKafkaPandasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Shape the future of the big data landscape by supporting sophisticated data engineering and data science teams
Collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using the Databricks platform and APIs
Guide customers through the competitive landscape, best practices, and implementation
Develop technical champions
Partner with the sales team and provide technical leadership to help customers understand how Databricks solves business problems
Consult on Big Data architectures and implement proofs of concept for strategic data engineering, data science, machine learning, and SQL analysis projects
Validate integrations with cloud services, homegrown tools, and third-party applications
Collaborate with fellow Solutions Architects to support users
Become an expert in, promote, and recruit contributors for Databricks open-source projects including Spark, Delta Lake, and MLflow

Requirements

What you’ll need

4+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
Experience building distributed data systems
Comfortable programming in and debugging Python and SQL
Experience building solutions with public cloud providers such as AWS, Azure, or GCP
Expertise in data engineering technologies such as Spark, Hadoop, or Kafka, or data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow
Available to travel to customers in your region
Remote location; Pacific Time preferred and Mountain Time considered
Degree in a quantitative discipline is desired
Databricks Certification is nice to have

Benefits

Comp & perks

Annual performance bonus eligibility
Equity eligibility
Region-specific comprehensive benefits and perks