Data Platform Architect; Data

We are looking for a Data Platform Architect to help us support our continued growth. The Data Platform Architect is responsible for owning the overall design of the technical solution as well as recommending best practice solutions based on client needs. They provide technical guidance to the development of  and other SaaS applications to support business and product strategies, with a heavy emphasis on maximizing the Salesforce Data 360 (D360) ecosystem.

A Data Platform Architect facilitates discovery sessions to understand client processes and challenges and translates findings into technical requirements supported by a documented solution design. They provide thoughtful leadership and communication to project and client team members in order to build the foundation as a trusted partner.

• Enterprise D360 Harmonization:
  Develop and implement data architectures that align with business needs and leverage Salesforce Data 360 (D360) capabilities for unified profile management, data democratization, and real‑time activation.
• Modern Cloud Integration:
  Design and implement data solutions that bridge enterprise cloud data platforms (Data Lakes/Warehouses) with the Salesforce ecosystem to address specific business needs, such as Business Intelligence (BI), ETL/ELT, and AI/ML.
• Legacy Migration:
  Assist with the migration, ingestion, and mapping of customer data from legacy systems and siloed databases into the Salesforce D360 platform.
• Governance & Trust:
  Ensure data accessibility, data privacy, granular security controls, and compliance with relevant regulations (e.g., GDPR, CCPA) and industry standards within the customer data ecosystem.
• Ingestion & Streaming Pipelines:
  Design and implement real‑time streaming and batch data pipelines for ingesting, transforming, and loading high‑volume enterprise data into Salesforce D360 from various cloud sources and APIs.
• D360 Identity Resolution:
  Design and implement scalable data models and metadata architectures within Salesforce D360, expertly defining identity resolution rules, reconciliation rules, and unified data graphs.
• Performance Optimization:
  Monitor and optimize query performance, calculated insights, identity resolution runs, and data transformation processes within the Salesforce D360 and underlying lakehouse environment.
• Technical Leadership and
  
  Collaboration:
  • Cross-Functional Collaboration:
    
    Collaborate with key stakeholders—including business users, data engineers, data scientists, and CRM IT teams—to understand requirements and deliver unified data solutions.
  • Ecosystem Evaluation:
    Evaluate and select appropriate tools, connectors, and zero-copy/Zero-Data-Movement technologies for seamless data integration, transformation, and activation within the Salesforce D360 ecosystem.
  • Technical Guidance:
    Provide technical leadership, architectural oversight, and best‑practice guidance to data engineering and CRM development teams.

• 5+ years of experience in solutions architecture or technical consulting for cloud data platforms with multiple enterprise work streams.
• Deep Understanding of Salesforce D360 (Data Cloud) Architecture & Capabilities:
  Expert knowledge of the data model (DMOs, DSOs), identity resolution, data spaces, calculated insights, and activation targets.
• Data Modernization Advocate:
  Passionate about modern data architecture methods, including lakehouse architecture, zero-copy data sharing, and real‑time data activation.
• Broad Data Ecosystem
  
  Experience:
  
  Comprehensive range of experience in enterprise database technology, cloud data warehouses (e.g., Snowflake, Databricks), ETL/ELT tools, data engineering pipelines, and data science principles.
• Elite Communication:
  Strong…