Salesforce

4 days ago

Technical Architect - Data Cloud

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Design and govern the Salesforce Data Cloud architecture that powers every migration wave in the Migration Factory. Own end-to-end architecture for ingestion streams, identity resolution, unified profiles, segmentation activation, data readiness, and AI-ready foundations for Agentforce. Lead factory-wide data migration methodology, ETL/integration pipeline design, reconciliation and cutover integrity, plus consent/compliance architecture. Build reusable Data Cloud migration accelerators and tooling on the Salesforce platform to improve data quality and time-to-insight across tracks.

Location: Hyderabad, Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design the Salesforce Data Cloud architecture across all Migration Factory tracks, including ingestion stream configuration, identity resolution, unified profile schema, DLO/DMO design, calculated insights, and segmentation activation.
•Lead data readiness assessments for each migration wave, profiling source estates to identify data quality gaps, consent completeness, schema mismatches, and AI-readiness for Agentforce activation.
•Own factory-wide data migration methodology: profiling, ETL pipeline design, transformation mapping, staging architecture, bulk load sequencing, cutover window design, dry runs, and reconciliation sign-off.
•Architect ETL and integration pipelines for high-volume migration into Salesforce objects and Data Cloud, selecting tools such as Informatica, Talend, MuleSoft, Azure Data Factory, or AWS Glue.
•Build and maintain migration accelerators and factory tooling on Salesforce, including Apex-based Data Cloud API callout frameworks, batch validation utilities, and LWC dashboards.

Key Requirements

•8–14 years of experience in data architecture, data engineering, and Salesforce platform solutions.
•Hands-on Salesforce Data Cloud (or legacy Salesforce CDP) implementation experience (5+ years).
•Enterprise data migration experience (4+ years), including end-to-end ownership of data profiling, ETL, transformation, and cutover for large-scale programs.
•Ability to design Salesforce Data Cloud identity resolution rulesets and multi-source merge/deduplication strategies.
•Salesforce and platform certifications including Salesforce Data Cloud Consultant, Salesforce Certified Data Architect, Salesforce Application Architect, and Agentforce Specialist (required).

Experience:8-14 yearsData architectureData engineeringSalesforceData migrationEnterprise integration

Skills:Data migration disciplineContinuous improvementCross-track collaborationData-quality focusCommunication

Certifications:Salesforce Data Cloud ConsultantSalesforce Certified Data ArchitectSalesforce Application ArchitectAgentforce SpecialistSalesforce Marketing Cloud ConsultantSalesforce Integration ArchitectInformatica IDMC CertifiedSnowflake SnowPro Core

Tech Stack:Salesforce Data CloudAgentforceData Cloud APIsETLIdentity resolutionUnified profilesSegmentation activationInformatica CloudIDMCTalendMuleSoftAzure Data FactoryAWS GlueFivetranApexRESTBulk API 2.0Composite APIData Cloud Ingestion APILWC

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

4 days ago

Technical Architect - Data Cloud

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Hyderabad, Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design the Salesforce Data Cloud architecture across all Migration Factory tracks, including ingestion stream configuration, identity resolution, unified profile schema, DLO/DMO design, calculated insights, and segmentation activation.
•Lead data readiness assessments for each migration wave, profiling source estates to identify data quality gaps, consent completeness, schema mismatches, and AI-readiness for Agentforce activation.
•Own factory-wide data migration methodology: profiling, ETL pipeline design, transformation mapping, staging architecture, bulk load sequencing, cutover window design, dry runs, and reconciliation sign-off.
•Architect ETL and integration pipelines for high-volume migration into Salesforce objects and Data Cloud, selecting tools such as Informatica, Talend, MuleSoft, Azure Data Factory, or AWS Glue.
•Build and maintain migration accelerators and factory tooling on Salesforce, including Apex-based Data Cloud API callout frameworks, batch validation utilities, and LWC dashboards.

Key Requirements

•8–14 years of experience in data architecture, data engineering, and Salesforce platform solutions.
•Hands-on Salesforce Data Cloud (or legacy Salesforce CDP) implementation experience (5+ years).
•Enterprise data migration experience (4+ years), including end-to-end ownership of data profiling, ETL, transformation, and cutover for large-scale programs.
•Ability to design Salesforce Data Cloud identity resolution rulesets and multi-source merge/deduplication strategies.
•Salesforce and platform certifications including Salesforce Data Cloud Consultant, Salesforce Certified Data Architect, Salesforce Application Architect, and Agentforce Specialist (required).

Experience:8-14 yearsData architectureData engineeringSalesforceData migrationEnterprise integration

Skills:Data migration disciplineContinuous improvementCross-track collaborationData-quality focusCommunication

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