Databricks

2 weeks ago

Specialist Solutions Architect (Security)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Guide strategic customers in designing and implementing production big data workloads on the Databricks Data Intelligence Platform, with a focus on security architecture and cloud infrastructure. Lead end-to-end pipeline performance testing and optimization, support advanced technical sales through custom PoCs and workload sizing, and assist Solution Architects with secure data platform and security lakehouse implementations. Act as a technical SME, improving community adoption through tutorials, training, and talks.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Provide technical leadership to help strategic customers successfully implement big data projects, including security design and development/deployment best practices with automation.
•Architect and optimize production-level workloads, including end-to-end pipeline load performance testing and optimization.
•Deliver technical expertise in cloud infrastructure and security for the Databricks intelligence platform.
•Assist Solution Architects with advanced technical sales activities such as custom proof of concept content, workload sizing, and custom architectures.
•Improve community adoption and act as a technical SME through tutorials, training, hackathons, and conference presentations.

Travel: Medium travel

Key Requirements

•Pre-sales or post-sales experience working with external clients across industry markets.
•Experience as a data platform engineer designing and maintaining production-grade big data systems using Spark.
•Hands-on experience designing cloud infrastructure and services (AWS, Azure, or GCP) with security and networking best practices (e.g., VPC/VNet, routing, segmentation, private connectivity).
•Hands-on experience with cloud infrastructure automation (e.g., Terraform, ARM, CloudFormation) and security-focused architectures including identity and access management.
•Production programming experience in one or more of: Python, Scala, SQL, or R; plus a bachelor’s degree in Computer Science/Information Systems/Engineering (or equivalent work experience).

Experience:Big dataData platformsCloud infrastructureSecurityCustomer-facingSIEMData & AI workloads

Education:Bachelor's in Computer Science, Information Systems, Engineering, or equivalent work experience

Skills:Technical leadershipCustomer collaborationMentorshipTechnical expertiseProblem solving

Certifications:Databricks Certification

Languages:English

Tech Stack:Databricks Data Intelligence PlatformDatabricks Intelligence PlatformSparkAWSAzureGCPVPCVNetTerraformARMCloudFormationIdentity and Access ManagementRole-based access controlLeast privilegeSIEMCI/CDUnit testingIntegration testingPythonScala

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

2 weeks ago

Specialist Solutions Architect (Security)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Provide technical leadership to help strategic customers successfully implement big data projects, including security design and development/deployment best practices with automation.
•Architect and optimize production-level workloads, including end-to-end pipeline load performance testing and optimization.
•Deliver technical expertise in cloud infrastructure and security for the Databricks intelligence platform.
•Assist Solution Architects with advanced technical sales activities such as custom proof of concept content, workload sizing, and custom architectures.
•Improve community adoption and act as a technical SME through tutorials, training, hackathons, and conference presentations.

Travel: Medium travel

Key Requirements

•Pre-sales or post-sales experience working with external clients across industry markets.
•Experience as a data platform engineer designing and maintaining production-grade big data systems using Spark.
•Hands-on experience designing cloud infrastructure and services (AWS, Azure, or GCP) with security and networking best practices (e.g., VPC/VNet, routing, segmentation, private connectivity).
•Hands-on experience with cloud infrastructure automation (e.g., Terraform, ARM, CloudFormation) and security-focused architectures including identity and access management.
•Production programming experience in one or more of: Python, Scala, SQL, or R; plus a bachelor’s degree in Computer Science/Information Systems/Engineering (or equivalent work experience).

Experience:Big dataData platformsCloud infrastructureSecurityCustomer-facingSIEMData & AI workloads

Education:Bachelor's in Computer Science, Information Systems, Engineering, or equivalent work experience

Skills:Technical leadershipCustomer collaborationMentorshipTechnical expertiseProblem solving

Certifications:Databricks Certification

Languages:English

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