Cloud Engineering Tech Lead at Morgan Stanley responsible for designing and supporting AWS infrastructure. Collaborating with Cloud Security/Engineering staff to ensure secure operations and optimal performance.
About the role
- Lead Salesforce Data Architect driving architecture and implementation of Salesforce Data 360 solutions for healthcare. Collaborating with enterprise clients to enhance data strategies and integration.
Responsibilities
- Serve as the lead architect for complex Salesforce Data 360 implementations, ensuring end-to-end solution integrity across ingestion, harmonization, identity resolution, segmentation, and activation
- Oversee all project phases -- Discover, Conceive, Build, and Evolve -- ensuring solutions are scalable, compliant, and aligned with business outcomes
- Translate client goals into actionable technical architectures and data strategies
- Partner with developers, data engineers, and marketing technologists to configure, test, and validate Data 360 use cases
- Provide architectural governance and thought leadership throughout implementation and post-launch optimization
- Configure and test key Data 360 components, including data streams, data model objects, identity resolution rules, data bundles, calculated insights, and segment activations
- Troubleshoot ingestion, mapping, and harmonization issues, ensuring smooth integration with Salesforce Marketing Cloud, Service Cloud, and external systems.
- Validate data pipelines and test real-time activation scenarios in compliance with HIPAA and other healthcare data privacy standards
- Engage directly with client stakeholders, translating complex data concepts into business terms
- Enable client teams through documentation, training, and co-innovation sessions
- Support pre-sales efforts through solution scoping, demo environments, and RFP responses
- Contribute to the growth of Bounteous’ Salesforce Data 360 practice by defining standards, templates, and reusable components
Requirements
- 7+ years of experience in Salesforce ecosystem implementations, with 2+ years focused on Data 360 or equivalent data architecture experience
- Proven success leading multi-phase, enterprise Data 360 implementations, ideally in regulated industries such as healthcare or life sciences
- Hands-on configuration experience in Salesforce Data 360, including data modeling, ingestion, harmonization, and activation
- Expert-level knowledge of the Customer 360 Data Model and experience integrating Data 360 with a variety of Salesforce and external sources
- Understanding of HIPAA, PHI data handling, and healthcare data interoperability standards (HL7, FHIR)
- Strong analytical and problem-solving skills, with the ability to translate between business goals and technical architecture
- Excellent communication and presentation skills for both executive and technical audiences.
Benefits
- Individual pay is determined by many factors, including experience, relevant education or training, and organizational needs. The mid-range to maximum of the salary range is generally reserved for individuals who are highly experienced in the role.
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