Ultra Tendency

1 week ago

Senior Databricks Consulting Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Serve as a trusted technical advisor for enterprise customers, guiding data and AI transformation journeys on the Databricks Lakehouse Platform. Lead architecture workshops and solution design sessions, translate business requirements into implementation plans, and drive adoption through best practices across data pipelines, governance, and platform operations. Support scalability, performance, security, and cost optimization across data engineering, analytics, ML, and GenAI workloads, while presenting to executives and partnering with sales teams on pre-sales activities.

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Mid level

Key Responsibilities

•Act as the primary technical advisor for strategic Databricks customers, guiding architecture and modernization decisions.
•Design and review scalable data, analytics, and AI architectures using the Databricks Lakehouse Platform.
•Lead architecture workshops, solution design sessions, and technical roadmap discussions, translating business requirements into technical plans.
•Support successful implementation and adoption by reviewing data engineering, analytics, ML, and GenAI workloads for scalability, performance, security, and cost optimization.
•Partner with sales and account teams for technical discovery, solution positioning, proposal development, and proof-of-concept activities.

Pay and Benefits

Perks:Remote Work

Key Requirements

•7+ years of experience in data engineering, cloud architecture, analytics, or related fields.
•3+ years working with Databricks in enterprise environments.
•Hands-on experience designing and implementing Lakehouse architectures.
•Strong knowledge of the Databricks Data Intelligence Platform plus Spark, Delta Lake, Unity Catalog, and data governance/security concepts.
•Proficiency in Python, SQL, and Spark, with experience on at least one major cloud platform (Azure preferred, AWS, or Google Cloud Platform).

Skills:Stakeholder managementCommunicationPresentationTechnical leadershipMentoring

Certifications:Databricks Certified Data Engineer ProfessionalDatabricks Certified Solutions ArchitectDatabricks Certified Machine Learning Professional

Languages:EnglishJapaneseGermanSpanishPortugueseKoreanChinese

Tech Stack:DatabricksDatabricks Lakehouse PlatformApache SparkDelta LakeUnity CatalogData Governance & SecurityData WarehousingETL/ELTData ModelingPythonSQLAzureAWSGoogle Cloud PlatformGenerative AILLMMLflowMLOpsData MeshStreaming data

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Ultra Tendency

Provides creative digital services including branding, web design, social media content, and marketing strategies for brands, creators, and lifestyle businesses.

Industry: Professional Services

Website

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Ultra Tendency

1 week ago

Senior Databricks Consulting Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Mid level

Key Responsibilities

•Act as the primary technical advisor for strategic Databricks customers, guiding architecture and modernization decisions.
•Design and review scalable data, analytics, and AI architectures using the Databricks Lakehouse Platform.
•Lead architecture workshops, solution design sessions, and technical roadmap discussions, translating business requirements into technical plans.
•Support successful implementation and adoption by reviewing data engineering, analytics, ML, and GenAI workloads for scalability, performance, security, and cost optimization.
•Partner with sales and account teams for technical discovery, solution positioning, proposal development, and proof-of-concept activities.

Pay and Benefits

Perks:Remote Work

Key Requirements

•7+ years of experience in data engineering, cloud architecture, analytics, or related fields.
•3+ years working with Databricks in enterprise environments.
•Hands-on experience designing and implementing Lakehouse architectures.
•Strong knowledge of the Databricks Data Intelligence Platform plus Spark, Delta Lake, Unity Catalog, and data governance/security concepts.
•Proficiency in Python, SQL, and Spark, with experience on at least one major cloud platform (Azure preferred, AWS, or Google Cloud Platform).

Skills:Stakeholder managementCommunicationPresentationTechnical leadershipMentoring

Certifications:Databricks Certified Data Engineer ProfessionalDatabricks Certified Solutions ArchitectDatabricks Certified Machine Learning Professional

Languages:EnglishJapaneseGermanSpanishPortugueseKoreanChinese

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Ultra Tendency

Provides creative digital services including branding, web design, social media content, and marketing strategies for brands, creators, and lifestyle businesses.

Industry: Professional Services

Website