Salesforce

3 weeks ago

Architect Engineer, Data Platform Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Senior software/platform engineer focusing on the Data Platform Services that power Salesforce's AI transformation. Lead technical strategy for data-driven platform, define standards for data contracts, lakehouse governance, reliability, and AI/LLM readiness. Own cross-team architecture decisions, mentor engineers, and partner with product leadership to shape enterprise-scale data capabilities.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Define AI readiness strategy for DPS platform, enabling AI-native workloads and reliable consumption by AI agents and LLM pipelines.
•Own the Data-as-a-Product platform vision, standardizing automated data contracts, versioned schemas, and SLAs to enable domain teams to ship trusted data products.
•Set engineering standards and architecture for DPS platform services, guiding API design, data contracts, reliability, observability, and secure-by-default ownership.
•Lead platform reliability and scale by establishing architectural principles, SLO frameworks, and operational standards for enterprise-scale performance.
•Serve as the technical voice across design reviews and long-range planning, coaching engineers, and connecting technical investment to business outcomes.

Pay and Benefits

Salary: USD 218,400 - 365,200 annually

Perks:Health Insurance401kEquity

Key Requirements

•12 to 15+ years of software or platform engineering experience with impact across multiple teams
•Demonstrated ability to define and drive a multi-year technical strategy for a platform organization
•Deep expertise in distributed systems design and cloud-native platform architecture
•Strong understanding of data platform architecture (lakehouse, data catalog, governance, data contracts)
•Experience shaping data platforms for AI/ML workloads and familiarity with agent integration patterns

Experience:12-15 yearsEnterprise dataAIData platformsCloud

Skills:KubernetesDockerAWSGCPAzureCI/CDAPIsData contractsObservabilityData lakehouseSecurity-by-default

Tech Stack:KubernetesDockerAWSGCPAzureCI/CDAPI designData contractsLakehouseObservability

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

3 weeks ago

Architect Engineer, Data Platform Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Define AI readiness strategy for DPS platform, enabling AI-native workloads and reliable consumption by AI agents and LLM pipelines.
•Own the Data-as-a-Product platform vision, standardizing automated data contracts, versioned schemas, and SLAs to enable domain teams to ship trusted data products.
•Set engineering standards and architecture for DPS platform services, guiding API design, data contracts, reliability, observability, and secure-by-default ownership.
•Lead platform reliability and scale by establishing architectural principles, SLO frameworks, and operational standards for enterprise-scale performance.
•Serve as the technical voice across design reviews and long-range planning, coaching engineers, and connecting technical investment to business outcomes.

Pay and Benefits

Salary: USD 218,400 - 365,200 annually

Perks:Health Insurance401kEquity

Key Requirements

•12 to 15+ years of software or platform engineering experience with impact across multiple teams
•Demonstrated ability to define and drive a multi-year technical strategy for a platform organization
•Deep expertise in distributed systems design and cloud-native platform architecture
•Strong understanding of data platform architecture (lakehouse, data catalog, governance, data contracts)
•Experience shaping data platforms for AI/ML workloads and familiarity with agent integration patterns

Experience:12-15 yearsEnterprise dataAIData platformsCloud

Skills:KubernetesDockerAWSGCPAzureCI/CDAPIsData contractsObservabilityData lakehouseSecurity-by-default

Tech Stack:KubernetesDockerAWSGCPAzureCI/CDAPI designData contractsLakehouseObservability

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor