4 months ago

Solutions Architect (Pre-sales) - Retail/CPG

✓ 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

Pre-sales Solutions Architect specializing in Analytics, AI and Big Data guides technical evaluations for Retail/CPG customers, advocating the Databricks Lakehouse Platform. You will design reference architectures, demo apps, and integrations, lead workshops, and partner with Account Executives to deliver technical and business value across public cloud ecosystems.

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Be a Big Data Analytics expert on architecture and design.
•Lead prospects through evaluating and adopting Databricks.
•Support customers by authoring reference architectures, how-tos, and demo applications.
•Integrate Databricks with third-party applications to support customer architectures.
•Engage with the technical community by leading workshops, seminars and meet-ups.

Key Requirements

•Pre-sales or post-sales experience with external clients across multiple industries
•Core strength in Data Engineering or Data Science is advantageous for customer-facing roles
•Experience presenting and whiteboarding technical concepts
•Experience designing and implementing architectures in public clouds (AWS, Azure or GCP)
•Experience with Big Data technologies (e.g., Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra) and fluent coding in Python or Scala (Spark) and Java and R

Experience:Retail/CPGBig DataAnalytics

Skills:CommunicationPresentationCustomer-facingProblem-solvingTeamwork

Languages:EnglishJapanese

Tech Stack:Apache SparkPythonScalaJavaRAWSAzureGCPHadoopCassandraDatabricks Lakehouse 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

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Databricks

4 months ago

Solutions Architect (Pre-sales) - Retail/CPG

✓ 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: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Be a Big Data Analytics expert on architecture and design.
•Lead prospects through evaluating and adopting Databricks.
•Support customers by authoring reference architectures, how-tos, and demo applications.
•Integrate Databricks with third-party applications to support customer architectures.
•Engage with the technical community by leading workshops, seminars and meet-ups.

Key Requirements

•Pre-sales or post-sales experience with external clients across multiple industries
•Core strength in Data Engineering or Data Science is advantageous for customer-facing roles
•Experience presenting and whiteboarding technical concepts
•Experience designing and implementing architectures in public clouds (AWS, Azure or GCP)
•Experience with Big Data technologies (e.g., Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra) and fluent coding in Python or Scala (Spark) and Java and R

Experience:Retail/CPGBig DataAnalytics

Skills:CommunicationPresentationCustomer-facingProblem-solvingTeamwork

Languages:EnglishJapanese

Tech Stack:Apache SparkPythonScalaJavaRAWSAzureGCPHadoopCassandraDatabricks Lakehouse 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

Website LinkedIn