Databricks

4 weeks ago

Sr. Specialist Solutions Architect - Data Engineering & Warehousing

✓ 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 Solutions Architect specialized in data engineering and warehousing, guiding customers through cloud data transformations, building production data pipelines, and optimizing lakehouse architectures. Leads technical discussions, supports pre/post-sales efforts, and mentors teams while advancing Databricks data intelligence platform adoption for large-scale BI workloads.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
•Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization.
•Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads and optimizing end-to-end pipelines.
•Become a technical expert in areas such as data lake technology, big data streaming, or data ingestion and workflows.
•Assist Solution Architects with advanced aspects of technical sales, including custom proof of concept content and workload sizing.

Travel: Low travel

Pay and Benefits

Salary: USD 219,100 - 301,300 annually

Equity and Bonus:Equity

Key Requirements

•8+ years in a technical role with deep data engineering expertise (data ingestion, streaming with Spark Streaming and Kafka, performance tuning, and debugging Spark or similar)
•Production programming experience in SQL and at least one of Python, Scala, or Java
•Strong cloud familiarity with AWS, Azure, or GCP
•Experience migrating workloads to cloud platforms and building lakehouse/warehouse systems (Delta Lake, BI integration)
•Bachelor's degree in CS/IS/Engineering or equivalent professional experience

Experience:8+ yearsData engineeringBig dataLakehouseCloudData warehousing

Education:Bachelor's

Skills:LeadershipMentorshipPresentationTraining

Languages:English

Tech Stack:SparkKafkaPythonScalaJavaAWSAzureGCPDelta Lake

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

4 weeks ago

Sr. Specialist Solutions Architect - Data Engineering & Warehousing

✓ 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: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
•Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization.
•Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads and optimizing end-to-end pipelines.
•Become a technical expert in areas such as data lake technology, big data streaming, or data ingestion and workflows.
•Assist Solution Architects with advanced aspects of technical sales, including custom proof of concept content and workload sizing.

Travel: Low travel

Pay and Benefits

Salary: USD 219,100 - 301,300 annually

Equity and Bonus:Equity

Key Requirements

•8+ years in a technical role with deep data engineering expertise (data ingestion, streaming with Spark Streaming and Kafka, performance tuning, and debugging Spark or similar)
•Production programming experience in SQL and at least one of Python, Scala, or Java
•Strong cloud familiarity with AWS, Azure, or GCP
•Experience migrating workloads to cloud platforms and building lakehouse/warehouse systems (Delta Lake, BI integration)
•Bachelor's degree in CS/IS/Engineering or equivalent professional experience

Experience:8+ yearsData engineeringBig dataLakehouseCloudData warehousing

Education:Bachelor's

Skills:LeadershipMentorshipPresentationTraining

Languages:English

Tech Stack:SparkKafkaPythonScalaJavaAWSAzureGCPDelta Lake

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