Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)

Databricks
California, Colorado, Oregon, Washington
Workplace: RemoteFull timeUSD 152,300 - 209,450Function: Solutions Engineering & Sales EngineeringEducation: mastersSkills: ["Presentation skills","Demonstration skills","Customer-facing communication","Debugging","Technical strategy"]

Independently lead technical engagements for Digital Native customers by owning discovery, solution design, and platform demonstrations to drive Databricks adoption. Build and deliver proofs-of-concept and live demos for data engineering, analytics, and machine learning workloads, maintaining frontline technical relationships and partnering with Account Executives on technical strategies. Navigate competitive landscapes through hands-on differentiation, and contribute reusable technical assets such as notebooks, accelerators, and reference architectures.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
2 days ago

Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Independently lead technical engagements for Digital Native customers by owning discovery, solution design, and platform demonstrations to drive Databricks adoption. Build and deliver proofs-of-concept and live demos for data engineering, analytics, and machine learning workloads, maintaining frontline technical relationships and partnering with Account Executives on technical strategies. Navigate competitive landscapes through hands-on differentiation, and contribute reusable technical assets such as notebooks, accelerators, and reference architectures.
Location: California, Colorado, Oregon, Washington
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •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 to drive technical wins.
  • •Own frontline technical relationships with customer engineers, data teams, and technical leads.
  • •Develop account-level technical strategies in partnership with the Account Executive to grow platform consumption.
  • •Articulate Databricks differentiation through hands-on demonstrations and contribute reusable technical assets to the SA community.

Pay and Benefits

Salary: USD 152,300 - 209,450
Equity and Bonus:Equity

Key Requirements

  • •4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
  • •Proficiency in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code (live coding required).
  • •Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP).
  • •Working knowledge of distributed data systems such as Apache Spark and Delta Lake (or equivalent).
  • •Experience leading technical customer conversations including discovery, whiteboarding, and architecture reviews.
Experience:Data engineeringSolutions architectureTechnical pre-salesHands-on consultingData engineering (ETL/ELT)Machine learningMLOpsCloud data platforms
Education:Master's in Computer Science, Engineering, or a quantitative discipline
Skills:Presentation skillsDemonstration skillsCustomer-facing communicationDebuggingTechnical strategy
Languages:English
Tech Stack:PythonSQLAWSAzureGCPApache SparkDelta LakeHadoopKafkaFlinkUnity CatalogLakeflow Spark Declarative PipelinesMLflowETLELTMLOpsLakehouseDatabricks Platform

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
WebsiteLinkedIn