Description

ROLE OVERVIEW:  We are seeking a Salesforce Data Architect to own the data architecture, data modeling, and data governance across enterprise Salesforce programs. The role designs the trusted-data foundation that powers Customer 360, Data 360 (Data Cloud) and agentic AI (Agentforce) — spanning data modeling, large-scale migrations, identity resolution, master-data alignment and data quality. The Data Architect ensures that unified, governed and high-quality data underpins personalization, analytics and AI-led decisioning at scale.

KEY RESPONSIBILITIES

• Own the enterprise data model across the Salesforce estate — objects, relationships, LDV (large data volume) design, indexing and skinny tables.
• Design canonical data models and mapping to enterprise / master-data definitions for consistency across systems.
• Define data-partitioning, archival and retention strategies to sustain performance at scale.
• Define end-to-end data migration strategy from legacy CRMs / ERPs (including cleansing, dedup, reconciliation and cutover).
• Architect data integration and synchronization patterns (API-led, ETL/ELT, batch and streaming) with ERP, MDM and data-platform ecosystems.
• Ensure reliable handling of high-volume, high-velocity data with data lineage and traceability.
• Establish data governance — ownership, stewardship, quality rules, MDM alignment and metadata management.
• Define data-quality KPIs (completeness, accuracy, duplication) and remediation frameworks.
• Ensure data privacy and compliance (GDPR / CCPA), data masking, encryption and role-based access to sensitive data.
• Support presales, data-strategy assessments, estimation and solution defence for data-centric pursuits.
• Build reusable data-migration frameworks and accelerators; mentor data engineers and consultants.

REQUIRED SKILLS & EXPERIENCE

• 12–15 years overall with 6+ years on Salesforce and 3+ years in data architecture / Data Cloud.
• Strong Salesforce data modeling, LDV optimization, and sharing/visibility implications on the data layer.
• Hands-on Data Cloud (Data 360) — DLO/DMO, Identity Resolution, Calculated Insights, Segmentation, Activations.
• Proven large-scale data migration experience with cleansing, dedup and reconciliation frameworks.
• Strong SQL and data-integration skills (API-led, ETL/ELT, middleware); familiarity with data platforms (Snowflake / BigQuery / Redshift) is a plus.
• Understanding of MDM, data governance, and data-quality tooling and practices.

CERTIFICATIONS (Nice to have)

• Salesforce Certified Data Architect
• Salesforce Data Cloud Consultant
• Application Architect / Integration Architect / Platform Developer certifications.

KEY COMPETENCIES

• Rigorous data-modeling and data-governance discipline.
• Strong analytical and problem-solving skills with attention to data quality and detail.
• Clear communication of data strategy to technical and business stakeholders.
• Outcome orientation — trusted data that measurably enables AI, analytics and personalization

Key Skills

Education

Any Graduate