Salesforce Data Architect
Jade Global Open At a glance
Mid-level Data Architecture & Governance role at Jade Global. Pune · full-time.
Pay not stated Data Architect salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape Salesforce data models around business processes, including object links, sharing, and large data volumes
- Set standards for data quality, duplicate handling, master data, and archiving across the data lifecycle
- Plan legacy or cross-org migrations, covering ETL design, field mapping, reconciliation, and cutover
- Tune large-data-volume architectures and define Salesforce data contracts with integration architects
- Set data security and recovery approaches, then audit data health and coach developers on architecture
What you bring
- At least fifteen years in data architecture, including five or more focused on Salesforce
- Strong Salesforce data-model knowledge, plus SOQL/SOSL tuning and experience with Big Objects and External Objects
- Hands-on ETL work using tools such as Informatica, Talend, Data Loader, or another listed tool
- Experience with large-data-volume performance work and familiarity with privacy rules and Salesforce Shield
- Salesforce Certified Data Architect credentials covering Sharing and Visibility and Data Architecture and Management
Who this fits
This role suits a senior Salesforce data architect who can lead migration, governance, security, and performance decisions while guiding developers and admins. The position is based in Pune, India.
From the employer
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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