Databricks

5 days ago

Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Lead customer adoption of the Databricks Unified Analytics Platform by designing solutions and reference architectures for Data and AI use cases. Provide technical leadership through proof of concepts, integration validation with cloud services and third-party applications, and escalated support for critical issues. Build demos and guides, evangelize Databricks open-source projects (Apache Spark, Delta Lake, MLflow, Koalas), and partner with sales as a trusted technical advisor, traveling to customers up to 30%.

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Provide technical leadership for customers to evaluate and adopt Data and AI solutions using Databricks.
•Consult on big data architecture and implement proof of concepts for customer projects, including data science and machine learning initiatives.
•Build and present reference architectures, technical guides, and demo applications for customers.
•Provide escalated support for critical customer operational issues.
•Evangelize Databricks open-source projects (Apache Spark, Delta Lake, MLflow, Koalas) across developer communities via meetups, conferences, and webinars.

Travel: Medium travel

Key Requirements

•4+ years in a customer-facing pre-sales, technical architecture, or consulting role.
•Experience designing and architecting distributed data systems.
•Comfortable programming and debugging in at least one of Python, Scala, Java, SQL, or R.
•Built solutions with public cloud providers such as AWS, Azure, or GCP.
•Experience with data engineering (Spark/Hadoop/Kafka), data warehousing, or data science/ML technologies (e.g., pandas, scikit-learn).

Experience:4+ yearsData engineeringData analyticsData scienceMachine learningOpen sourcePublic cloud

Education:

Skills:CommunicationTechnical leadershipConsultative problem-solvingCustomer collaborationPresentation skills

Certifications:Databricks Certification

Languages:English

Tech Stack:Databricks Unified Analytics PlatformApache SparkMLflowDelta LakeKoalasPythonScalaJavaSQLRAWSAzureGCPHadoopKafkaPandasScikit-learnHPOOLTPOLAP

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

5 days ago

Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Provide technical leadership for customers to evaluate and adopt Data and AI solutions using Databricks.
•Consult on big data architecture and implement proof of concepts for customer projects, including data science and machine learning initiatives.
•Build and present reference architectures, technical guides, and demo applications for customers.
•Provide escalated support for critical customer operational issues.
•Evangelize Databricks open-source projects (Apache Spark, Delta Lake, MLflow, Koalas) across developer communities via meetups, conferences, and webinars.

Travel: Medium travel

Key Requirements

•4+ years in a customer-facing pre-sales, technical architecture, or consulting role.
•Experience designing and architecting distributed data systems.
•Comfortable programming and debugging in at least one of Python, Scala, Java, SQL, or R.
•Built solutions with public cloud providers such as AWS, Azure, or GCP.
•Experience with data engineering (Spark/Hadoop/Kafka), data warehousing, or data science/ML technologies (e.g., pandas, scikit-learn).

Experience:4+ yearsData engineeringData analyticsData scienceMachine learningOpen sourcePublic cloud

Education:

Skills:CommunicationTechnical leadershipConsultative problem-solvingCustomer collaborationPresentation skills

Certifications:Databricks Certification

Languages:English

Tech Stack:Databricks Unified Analytics PlatformApache SparkMLflowDelta LakeKoalasPythonScalaJavaSQLRAWSAzureGCPHadoopKafkaPandasScikit-learnHPOOLTPOLAP

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn