Databricks

1 month ago

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: 2 hours agoStatus: Live

Job Summary

As Specialist Solutions Architect - Data Engineering, you guide customers through cloud data engineering transformations across a wide variety of use cases. You will collaborate with Solutions Architects, require hands-on production experience with large-scale data engineering technologies and lakehouse architecture, and lead production planning for BI workloads while aligning technical roadmaps with the Databricks Data Intelligence Platform.

Location: Texas

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

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, including end-to-end pipeline load performance testing and optimization.
•Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows.
•Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures.

Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

Key Requirements

•5+ years of experience in a technical role with deep expertise across data engineering and observability
•Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions
•Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV)
•Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection
•Production programming experience in SQL and at least one of Python, Scala, or Java

Experience:5+ yearsData engineeringBig dataLakehouseData warehousing

Education:Bachelor's

Skills:CollaborationCommunicationLeadershipMentorshipTraining

Languages:English

Tech Stack:SparkKafkaDelta LakeSQLPythonScalaJavaAWSAzureGCP

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

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: 2 hours agoStatus: Live

Job Summary

Location: Texas

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

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, including end-to-end pipeline load performance testing and optimization.
•Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows.
•Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures.

Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

Key Requirements

•5+ years of experience in a technical role with deep expertise across data engineering and observability
•Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions
•Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV)
•Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection
•Production programming experience in SQL and at least one of Python, Scala, or Java

Experience:5+ yearsData engineeringBig dataLakehouseData warehousing

Education:Bachelor's

Skills:CollaborationCommunicationLeadershipMentorshipTraining

Languages:English

Tech Stack:SparkKafkaDelta LakeSQLPythonScalaJavaAWSAzureGCP

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