Databricks

1 month ago

Sr. Solutions Engineer - Public Sector (Defense Industrial Base)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior, customer-facing solutions engineer guiding public sector customers through Databricks architecture and implementation. You will design distributed data solutions, leverage open-source ecosystems (Spark, Delta Lake, MLflow), collaborate with sales and post-sales teams, and travel to client sites to deliver value and build champions for Databricks in the defense industrial base space.

Location: Washington

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Partner with the sales team to help customers understand how Databricks can help solve their business problems.
•Provide technical leadership for customers to evaluate and adopt Databricks.
•Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
•Build and present reference architectures, how-tos, and demo applications for customers.
•Travel to customers in your region.

Travel: Low travel

Pay and Benefits

Salary: USD 152,300 - 209,450 annually

Key Requirements

•5+ years in a customer-facing pre-sales, technical architecture, or consulting role.
•Experience designing and architecting distributed data systems.
•Proficiency in programming and debugging at least one of Python, Scala, Java, SQL, or R.
•Experience supporting Public Sector clients.
•Built solutions with public cloud providers such as AWS, Azure, or GCP.

Experience:5+ yearsPublic sectorDefenseCloud servicesData engineeringPre-sales

Skills:CommunicationLeadershipProblem-solvingCustomer-facing

Languages:English

Tech Stack:PythonScalaJavaSQLRSparkHadoopKafkaAWSAzureGCPDelta LakeMLflowKoalas

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 month ago

Sr. Solutions Engineer - Public Sector (Defense Industrial Base)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Washington

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Partner with the sales team to help customers understand how Databricks can help solve their business problems.
•Provide technical leadership for customers to evaluate and adopt Databricks.
•Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
•Build and present reference architectures, how-tos, and demo applications for customers.
•Travel to customers in your region.

Travel: Low travel

Pay and Benefits

Salary: USD 152,300 - 209,450 annually

Key Requirements

•5+ years in a customer-facing pre-sales, technical architecture, or consulting role.
•Experience designing and architecting distributed data systems.
•Proficiency in programming and debugging at least one of Python, Scala, Java, SQL, or R.
•Experience supporting Public Sector clients.
•Built solutions with public cloud providers such as AWS, Azure, or GCP.

Experience:5+ yearsPublic sectorDefenseCloud servicesData engineeringPre-sales

Skills:CommunicationLeadershipProblem-solvingCustomer-facing

Languages:English

Tech Stack:PythonScalaJavaSQLRSparkHadoopKafkaAWSAzureGCPDelta LakeMLflowKoalas

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