Databricks

4 months ago

Specialist Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Guide customers in building high-scale data solutions on the Databricks Lakehouse Platform, providing hands-on Spark expertise and architectural leadership from design to deployment. Work with Solution Architects to craft custom architectures, PoCs, and performance-optimized workloads, while expanding customer adoption through tutorials, training, and community contributions.

Location: Seoul

Workplace: Onsite

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, ranging from architectural design to data engineering to model deployment.
•Architect production level workloads, including end-to-end pipeline load performance testing and optimisation.
•Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture.
•Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures.
•Improve community adoption (through tutorials, training, hackathons, conference presentations) and contribute to the Databricks Community.

Key Requirements

•Hands-on production experience with Apache Spark and expertise in other data technologies.
•Customer-facing technical experience in at least one of: Software/Data Engineer, Data Scientist/ML Engineer, or Data Applications Engineer.
•Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
•Production programming experience in Python, R, Scala or Java.
•Deep specialty in at least one area (e.g., scalable big data workloads, CI/CD tools, REST APIs, BI tools, or cloud services).

Experience:Big dataSparkCloudMlData engineering

Education:Bachelor's in Computer Science

Skills:Customer-facingCommunicationProblem-solvingCollaboration

Languages:KoreanEnglish

Tech Stack:Apache SparkDelta LakeHadoopNoSQLMPPOLTPOLAPPythonRScalaJavaMLflowAWSAzureGCPREST APIBI toolsSQL

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 months ago

Specialist Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Onsite

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, ranging from architectural design to data engineering to model deployment.
•Architect production level workloads, including end-to-end pipeline load performance testing and optimisation.
•Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture.
•Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures.
•Improve community adoption (through tutorials, training, hackathons, conference presentations) and contribute to the Databricks Community.

Key Requirements

•Hands-on production experience with Apache Spark and expertise in other data technologies.
•Customer-facing technical experience in at least one of: Software/Data Engineer, Data Scientist/ML Engineer, or Data Applications Engineer.
•Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
•Production programming experience in Python, R, Scala or Java.
•Deep specialty in at least one area (e.g., scalable big data workloads, CI/CD tools, REST APIs, BI tools, or cloud services).

Experience:Big dataSparkCloudMlData engineering

Education:Bachelor's in Computer Science

Skills:Customer-facingCommunicationProblem-solvingCollaboration

Languages:KoreanEnglish

Tech Stack:Apache SparkDelta LakeHadoopNoSQLMPPOLTPOLAPPythonRScalaJavaMLflowAWSAzureGCPREST APIBI toolsSQL

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