Quality Engineering Lead and Salesforce Data Cloud Application Lead

Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Salesforce Data
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Project Role : Application Lead
Project Role Description : Design, build and configure applications to meet business process and application requirements.

Must have skills : Salesforce Data Cloud/CDP/Salesforce Data/Data 360
Good to have skills : Salesforce Development/Salesforce Marketing Cloud
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years of full time education

Roles & Responsibilities:
Own end-to-end Salesforce Data Cloud architecture covering ingestion, data modeling (DMOs/DLOs), identity resolution, and audience activation with focus on scalability, governance, and cost efficiency.
Design and optimize data pipelines from enterprise sources (CRM, digital, data warehouses) using batch/streaming patterns and zero-copy federation where applicable.
Define and govern identity resolution, data quality, consent, and privacy frameworks aligned with GDPR/CCPA and enterprise standards.
Enable high-impact use cases including segmentation, calculated insights, and real-time activation across Marketing Cloud and downstream channels.
Monitor and optimize credit consumption, platform performance, and operational health implement proactive alerts and continuous optimization.
Provide technical leadership to cross-functional teams, support solutioning/pre-sales, and mentor architects and engineers.

Professional & Technical Skills:
10+ years in Salesforce/data architecture with hands-on Salesforce Data Cloud experience
Deep expertise in Identity Resolution, Data Modelling Calculated Insights & Data Transforms
Strong SQL and data engineering fundamentals with experience integrating Snowflake or similar cloud warehouses
Proven experience designing enterprise-scale, governed data platforms
Salesforce Data Cloud Consultant Certification
Good to have experience with Marketing Cloud/Personalization and AI-driven use cases (Agentforce)

Additional Information:
The candidate should have a minimum of 4+ years of experience in Salesforce Data Cloud/CDP/Salesforce Data/Data 360.
The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful Salesforce Data Cloud/CDP/Salesforce Data/Data 360 solutions.