Pune, Maharashtra
Live, first seen by us 78 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design scalable data models aligned to business processes and Salesforce best practices
Define data governance standards for quality, deduplication, MDM, and lifecycle
Lead data migration strategy, including ETL design, mapping, and cutover planning
Architect solutions for large data volumes, including indexing and partitioning
Establish data security architecture, including field-level security and encryption
Design scalable, normalized/denormalized data models aligned to business processes and Salesforce best practices
Define data governance standards: data quality, deduplication, master data management (MDM), and data lifecycle/archiving policies
Lead data migration strategy for legacy-to-Salesforce or cross-org migrations (ETL design, mapping, reconciliation, cutover planning)
Architect solutions for Large Data Volumes (LDV) — indexing, skinny tables, selective queries, partitioning strategies
Establish data security architecture: field-level security, sharing rules, encryption (Shield), and compliance (GDPR, HIPAA, etc.)
Salesforce Data Architect1Role Summary Owns the enterprise data strategy across the Salesforce platform — data modeling, quality, governance, migration, and lifecycle management — ensuring scalability, performance, and compliance across clouds (Sales, ARM, Service, Experience, etc.). Key Responsibilities Design scalable, normalized/denormalized data models aligned to business processes and Salesforce best practices (object relationships, sharing model, large data volume handling) Define data governance standards: data quality, deduplication, master data management (MDM), and data lifecycle/archiving policies Lead data migration strategy for legacy-to-Salesforce or cross-org migrations (ETL design, mapping, reconciliation, cutover planning) Architect solutions for Large Data Volumes (LDV) — indexing, skinny tables, selective queries, partitioning strategies Define integration data contracts in partnership with Integration/MuleSoft Architects (canonical data models, data synchronization patterns) Establish data security architecture: field-level security, sharing rules, encryption (Shield), and compliance (GDPR, HIPAA, etc.) Guide backup/recovery and disaster recovery strategy for Salesforce data Conduct data audits and health checks; recommend remediation for technical debt Mentor developers/admins on data modeling best practices; review data architecture deliverables Required Skills & Experience 15+ years in data architecture, with 5+ years focused on Salesforce Deep expertise in Salesforce data model, SOQL/SOSL optimization, Big Objects, External Objects Hands-on with ETL tools (Informatica, Talend, Data Loader, MuleSoft, Boomi) Strong understanding of relational databases, data warehousing concepts, and MDM principles Experience with LDV strategies and performance tuning Familiarity with data privacy regulations and Salesforce Shield Preferred Experience with Data Cloud (CDP), Snowflake, or other data platforms integrated with Salesforce Exposure to multi-cloud/multi-org Salesforce landscapes Certifications Salesforce Certified Data Architect (Sharing and Visibility, Data Architecture and Management) Salesforce Application Architect or System Architect (preferred)
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Day 78
Up longer than most. Similar jobs usually come down between day 8 and day 57.
Well past Jadeglobal’s usual: its jobs come down by about day 32.
From 9,462 similar postings that came down, and 16 of Jadeglobal’s. Coming down is not always a hire.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Role Summary Owns the enterprise data strategy across the Salesforce platform — data modeling, quality, governance, migration, and lifecycle management — ensuring scalability, performance, and compliance across clouds (Sales, ARM, Service, Experience, etc.). Key Responsibilities Design scalable, normalized/denormalized data models aligned to business processes and Salesforce best practices (object relationships, sharing model, large data volume handling) Define data governance standards: data quality, deduplication, master data management (MDM), and data lifecycle/archiving policies Lead data migration strategy for legacy-to-Salesforce or cross-org migrations (ETL design, mapping, reconciliation, cutover planning) Architect solutions for Large Data Volumes (LDV) — indexing, skinny tables, selective queries, partitioning strategies Define integration data contracts in partnership with Integration/MuleSoft Architects (canonical data models, data synchronization patterns) Establish data security architecture: field-level security, sharing rules, encryption (Shield), and compliance (GDPR, HIPAA, etc.) Guide backup/recovery and disaster recovery strategy for Salesforce data Conduct data audits and health checks; recommend remediation for technical debt Mentor developers/admins on data modeling best practices; review data architecture deliverables Required Skills & Experience 15+ years in data architecture, with 5+ years focused on Salesforce Deep expertise in Salesforce data model, SOQL/SOSL optimization, Big Objects, External Objects Hands-on with ETL tools (Informatica, Talend, Data Loader, MuleSoft, Boomi) Strong understanding of relational databases, data warehousing concepts, and MDM principles Experience with LDV strategies and performance tuning Familiarity with data privacy regulations and Salesforce Shield Preferred Experience with Data Cloud (CDP), Snowflake, or other data platforms integrated with Salesforce Exposure to multi-cloud/multi-org Salesforce landscapes Certifications Salesforce Certified Data Architect (Sharing and Visibility, Data Architecture and Management) Salesforce Application Architect or System Architect (preferred)
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Pune, Maharashtra
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