Salesforce Technical Lead (Data Cloud)

Key Responsibilities

• Lead and mentor a team of back-end developers, providing technical guidance and support.
  

• Design end-to-end solution architecture for ingestion, data unification, identity resolution, segmentation, and activation.
  

• Conduct technical discovery sessions toidentifydata sources, integration patterns, and downstream activation needs.
  

• Oversee development across data pipelines, APIs, connectors, transformations, and orchestration components.
  

• Define and document the enterprise 360 data model, mapping logic, metadata standards, and governance framework.
  

• Design and implement robust back-end architectures that meet scalability and performance requirements.
  

• Collaborate with CRM, marketing, analytics, and data engineering teams to ensure unified data design supports all use cases.
  

• Conduct code reviews, solution reviews, and technical validations tomaintainarchitecture quality.
  

• Troubleshoot and debug applications, optimizing code for performance and scalability.
  

• Stay updated on emerging back-end technologies and assess their value for current and future projects.
  

• Ensure compliance with data governance, privacy regulations, and enterprise security policies.
  

• Contribute to technical documentation, including system architecture and design specifications.
  

• Partner with DevOps teams to streamline deployment and operational processes.
  

• Act as the technical point of contact for back-end development issues and queries.
  

Requirements & Competencies

• Proven experience as a Back-End Developer witha track recordof successful project delivery.
  

• Demonstrated experience in leading and mentoring development teams.
  

• Deep hands-onexpertisewithSalesforce Data Cloud, including ingestion, datamodeling, identity resolution, calculated insights, and activation workflows.
  

• Strong understanding of Salesforce ecosystem architecture (Sales, Service, Marketing/MCAE, Experience Cloud, MuleSoft).
  

• Proven experience leading technical delivery of large-scale customer 360 or enterprise data platform initiatives.
  

• Expertisewith data integration tools and technologies (MuleSoft, APIs, Kafka, ETL/ELT tools).
  

• Strong grasp of data governance, consent management, privacy standards, and enterprise security.
  

• Familiarity with cloud platforms (AWS, Azure, GCP) and scalable data storage/processing technologies.
  

• Solid understanding of schema design, metadata frameworks, and high-volume data processing practices.
  

Skill Set

• Strong leadership and team management skills.
  

• Excellent problem-solving and analytical abilities.