About the role
In this role, you will:
- Own the technical design and architecture of Salesforce Data 360 implementations, including data model strategy, standard versus custom DMO decisions, and identity resolution approaches.
- Lead and mentor a team of developers by establishing coding standards, conducting design and code reviews, and removing technical delivery blockers.
- Define scalable ingestion, transformation, and activation patterns across multiple data sources and business units.
- Translate business requirements into technical roadmaps, estimates, and sprint plans in partnership with product owners and project managers.
- Serve as the primary technical contact for client and stakeholder teams, presenting solution options and trade-offs while identifying technical risks and owning mitigation plans.
Work model: Remote
What you need to have to be considered
- 6+ years of experience in Salesforce or data engineering roles, including 2+ years leading technical teams or workstreams, and 2+ years of hands-on technical experience with Data 360.
- Deep expertise in data modeling, identity resolution, calculated insights, segmentation, and activation.
- Advanced SQL skills with a strong understanding of ETL/ELT patterns, APIs, and streaming and batch integration approaches.
- Solid understanding of Salesforce platform architecture, including Marketing Cloud, Sales Cloud, Service Cloud, and Apex/Flow, along with experience with cloud data platforms such as Snowflake, BigQuery, or Databricks.
- Salesforce Data 360 Consultant certification, proven experience estimating, planning, and delivering in Agile environments, and excellent leadership, stakeholder management, and communication skills.
These will help you stand out
- Experience with zero-copy or federated data patterns.
- Working knowledge of GDPR, CCPA, and enterprise security practices.
- Experience establishing data governance, consent management, security, and environment/release management practices, including sandboxes, DevOps, and CI/CD.
- Experience optimizing performance, data quality, credit consumption, and cost.
- Additional Salesforce certifications such as Platform Developer II or Application/System Architect, along with experience integrating Salesforce clouds, external platforms, and Agentforce/AI use cases.
Salary and Other Compensation
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中,您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。







