Databricks

1 day ago

Sr. Solutions Architect - Digital Native Business, Strategics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Shape solutions for strategic Digital Natives Business customers by designing architectures with the Databricks platform and APIs. Partner with sales and guide technical discovery, proof-of-concepts, and implementation across data engineering, data science, machine learning, and SQL workflows. Act as a strategic technical advisor, collaborate with fellow Solutions Architects, and champion Databricks-inspired open-source projects like Spark, Delta Lake, and MLflow.

Location: Nevada, California, Colorado, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with the sales team to provide technical leadership and help customers solve business problems.
•Lead technical discovery and design architectures; implement proof-of-concepts across data engineering, data science/ML, and SQL analysis workflows.
•Advise customers on competitive landscape, best practices, and implementation, helping drive business outcomes.
•Collaborate with other Solutions Architects to support each other and Databricks users.
•Promote and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Omnigent).

Travel: Low travel

Pay and Benefits

Salary: USD 219,100 - 301,300 annually

Equity and Bonus:Equity

Key Requirements

•7+ years in data engineering, data science, technical architecture, or a 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 and/or data science & machine learning technologies (e.g., Spark, Hadoop, Kafka, pandas, scikit-learn, PyTorch, Tensorflow).

Experience:7+ yearsData engineeringData scienceDistributed systemsPre-sales consultingCloudMachine learningOpen source

Education:

Skills:Technical leadershipStrategic advisingCollaborationTechnical discoveryDebugging

Certifications:Databricks Certification

Languages:English

Tech Stack:DatabricksPlatformAPIsPythonSQLAWSAzureGCPSparkDelta LakeMLflowOmnigentHadoopKafkaPandasScikit-learnPyTorchTensorflow

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

1 day ago

Sr. Solutions Architect - Digital Native Business, Strategics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Nevada, California, Colorado, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with the sales team to provide technical leadership and help customers solve business problems.
•Lead technical discovery and design architectures; implement proof-of-concepts across data engineering, data science/ML, and SQL analysis workflows.
•Advise customers on competitive landscape, best practices, and implementation, helping drive business outcomes.
•Collaborate with other Solutions Architects to support each other and Databricks users.
•Promote and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Omnigent).

Travel: Low travel

Pay and Benefits

Salary: USD 219,100 - 301,300 annually

Equity and Bonus:Equity

Key Requirements

•7+ years in data engineering, data science, technical architecture, or a 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 and/or data science & machine learning technologies (e.g., Spark, Hadoop, Kafka, pandas, scikit-learn, PyTorch, Tensorflow).

Experience:7+ yearsData engineeringData scienceDistributed systemsPre-sales consultingCloudMachine learningOpen source

Education:

Skills:Technical leadershipStrategic advisingCollaborationTechnical discoveryDebugging

Certifications:Databricks Certification

Languages:English

Tech Stack:DatabricksPlatformAPIsPythonSQLAWSAzureGCPSparkDelta LakeMLflowOmnigentHadoopKafkaPandasScikit-learnPyTorchTensorflow

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