Salesforce Apex Senior Technical Lead

Experience: 5 to Not Available years

Location: Gautam Buddha Nagar, India

Skills: Salesforce, Salesforce Data Cloud, SQL, AWS, GCP, Azure, ETL, ELT, Data Integration, Data Governance, GDPR, CCPA, LGPD, Data Analysis

Job Summary
Senior Salesforce Data 360 (Data Cloud) Developer Role Overview The Senior Salesforce Data 360 (Data Cloud) Developer leads the design, development, and scaling of enterprise Salesforce Data Cloud solutions to deliver a unified, real‑time view of customers across a global retail ecosystem. This role is critical to powering omnichannel personalization, loyalty, analytics, and customer engagement across digital, in‑store, and partner touch points. You will partner closely with Salesforce Architects, Commerce, Marketing, Loyalty, Analytics, and Data Engineering teams to unify high‑volume customer, transaction, product, and behavioral data across regions, and channels.

Key Responsibilities
Data Cloud Solution Design & Development
Design, develop, and optimize Salesforce Data Cloud (Data 360) implementations at global retail scale
Build and manage:
• Batch and streaming Data Streams
• Data Lake Objects (DLOs) for large‑scale ingestion
• Data Model Objects (DMOs) aligned to Customer 360 and retail use cases
Normalize and harmonize data across regions, brands, channels, and languages
Ensure performance, resiliency, and scalability during peak retail periods and promotional events

Retail Data Integration & Engineering
Ingest and unify data from:
• Salesforce Commerce Cloud (B2C/B2B)
• POS and in‑store systems
• Loyalty and rewards platforms




• Mobile apps and digital touch points
• Marketing Cloud Engagement and Personalization
• External systems (Snowflake, AWS, GCP, Azure, APIs, SFTP)
Implement scalable ETL/ELT patterns for transactional and behavioral data
Support near‑real‑time ingestion for purchases, returns, product views, and offers
Collaborate with enterprise data teams to align Data Cloud with centralized data platforms

Identity Resolution & Customer Unification
Architect and configure advanced Identity Resolution strategies
Support identity across email, phone, loyalty IDs, device IDs, cookies, and in‑store identifiers
Enable retailer‑specific models such as:
• Anonymous‑to‑known resolution
• Household and family‑level profiles
• Cross‑brand and cross‑region identities
Optimize deterministic and probabilistic match rules for accuracy and scale

Calculated Insights, Segmentation & Analytics
Build advanced Calculated Insights using SQL to support retail KPIs such as:
• Customer Lifetime Value (CLV)
• Purchase frequency, recency, and monetary value
• Brand/category affinity
• Promotion responsiveness and churn risk
Develop reusable audience logic for:
• Loyalty tiers
• First‑time vs repeat buyers
• High‑value and at‑risk customers




Partner with Analytics teams to expose Data Cloud data to CRM Analytics, Tableau, and enterprise BI tools

Data Activation & Omnichannel Personalization
Activate unified profiles to:
• Marketing Cloud Engagement (email, SMS, push)
• Marketing Cloud Personalization (web and mobile)
• Salesforce Service Cloud
• Commerce platforms and external activation partners
Enable real‑time personalization, targeting, and offer decisioning
Support cross‑channel journey orchestration across digital and physical retail experiences

Governance, Privacy & Global Compliance
Implement enterprise data governance standards, including:
• Consent and preference management
• PII handling, masking, and minimization
• Data retention and deletion policies
Ensure compliance with global data privacy regulations (GDPR, CCPA, LGPD, and local market laws)
Support region‑specific data residency, access controls, and compliance requirements

Technical Leadership & Collaboration
Serve as a Salesforce Data Cloud Subject Matter Expert for global retail initiatives
Mentor developers and establish development standards and best practices
Participate in solution design and architecture reviews
Collaborate across global, matrixed teams including Marketing, Commerce, Loyalty, IT, and Data

Required Qualifications
• 5+ years of Salesforce platform experience
• 2+ years of hands‑on experience with Salesforce Data Cloud (Data 360)
• Deep expertise in:
• DaKey Responsibilities
• null
• Skill Requirements
• null
• Other Requirements
• null

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