Job Summary
Experience:
4.00 - 7.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - DBA / Datawarehousing
Designation:
Salesforce Data Engineer
Key Skills:
Salesforce Developer
Educational Level:
Graduate/Bachelors
Job Post Date:
2026-02-18 17:29:16
Stream of Study:
Degree:
BCA, BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, MCA, ME-Comp/IT, ME-Other, MSc-Comp/IT, MS-Comp/IT, MSc-Other, MS-Other, MTech-Comp/IT, MTech-Other
Company Description
We’re more than simply paper, ink, and toner. We provide the supplies and services that thousands of businesses around the world need to succeed. We’re the experts in technology and conferencing equipment, cleaning products, furniture, and even breakroom items like snacks and coffee, too. (After all, innovation requires plenty of fuel!) This is a company of more than 13,000 smart, insightful experts who believe in the power of what can be and are driven to make business easier for our customers.
Job Description
Role Summary:
We are seeking a highly skilled Salesforce Data Engineer with deep expertise in the Salesforce platform and a strong focus on building and operating Salesforce Data Cloud (D360) solutions. The ideal candidate will design, integrate, and maintain scalable, governed data pipelines that support data-driven Salesforce experiences, including analytics, automation, and Agentforce-powered workflows.
This role emphasizes reliable data ingestion, harmonization, identity resolution, and activation within Salesforce D360, including support for zero-copy data access patterns where appropriate to enable near real-time insights without unnecessary data duplication. The Salesforce Data Engineer partners closely with Salesforce Developers, Agentforce Engineers, Architects, and DevOps teams to deliver secure, high-quality, and performant data foundations that power intelligent automation and business decision-making.
Duties & Responsibilities
Develop, integrate, and maintain Salesforce D360 solutions, including data ingestion, harmonization, transformation, identity resolution, calculated insights, and data activation.
Design and operate data pipelines that source from Salesforce core objects and approved external platforms, including support for zero-copy or federated access patterns where applicable
Enable trusted, governed data activation for downstream Salesforce capabilities, including Agentforce agents, Flows, analytics, and AI-assisted workflows
Partner with Salesforce Developers and Agentforce Engineers to ensure data models and activations align with application, automation, and agent requirements
Collaborate with Architects to define scalable data architecture patterns, canonical models, governance standards, and zero-copy strategies within the Salesforce ecosystem
Monitor data freshness, quality, lineage, and performance, proactively identifying and resolving data pipeline or activation issues.
Support CI/CD and release processes by validating Data Cloud configurations and changes across environments.
Document data models, ingestion approaches, activation patterns, and zero-copy integrations to support operational excellence and onboarding
Minimum 4–6 years of experience in data engineering, analytics engineering, or platform data integration. 2+ years of hands-on experience with Salesforce Data Cloud (D360) or comparable enterprise data platforms. Demonstrated experience working within the Salesforce ecosystem (Sales Cloud, Service Cloud, or Platform)
Requirements
Basic Qualifications
Education: Bachelor`s degree in Computer Science, Information Technology, Engineering, or related field.
Hands-on experience with Salesforce Data Cloud, including ingestion, harmonization, identity resolution, calculated insights, and data activation
Experience designing and operating enterprise data pipelines, including familiarity with zero-copy or federated data access patterns
Strong experience with tools such as Informatica, Azure Data Factory, and Databricks
Strong understanding of Salesforce data models and platform concepts
Ability to support AI- and agent-driven use cases by providing trusted, data-grounded inputs
Experience working in Agile/Scrum development environments
Strong analytical and problem-solving skills
