Salesforce Data 360 Architect (53065)
Summary
Citrin Cooperman is hiring a Salesforce Data 360 Architect to own consulting engagements end to end, from pre-sales through go-live: advising client executives on data strategy and designing and delivering Data 360 solutions (data models, identity resolution, segmentation, activation) with integrations via MuleSoft, Snowflake, Databricks, and BigQuery.
Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring fresh perspectives, a problem-solving mindset, and sharp technical expertise. We know you have choices, so our team of collaborative, innovative professionals are at the ready to support your professional development. At Citrin Cooperman, we offer competitive compensation and benefits and most importantly, the flexibility to manage your personal and professional life to focus on what matters most to you!
As a Data 360 Architect, you will own the full lifecycle of Salesforce Data 360 engagements from pre-sales through go-live and beyond. You will serve as the technical authority on Data 360 for both our clients and internal delivery teams, translating complex data unification and activation challenges into actionable architectures built on Salesforce Data 360.
You'll work directly with client executives and subject matter experts to understand their data ecosystems, map integration points across their technology landscape, and design solutions that bring disparate data sources together into a unified customer profile.This role splits time between pre-sales and delivery, and requires someone equally comfortable white-boarding a data strategy with executives as they are building and troubleshooting the implementation.
- Lead pre-sales conversations with current and prospective clients, demonstrating the business value of Salesforce Data 360 and articulating how it fits within their existing data ecosystem
- Serve as a trusted advisor to clients on data strategy, helping them understand how Data 360 compares to and complements other platforms in their stack (CDPs, data warehouses, analytics tools)
- Own the end-to-end technical architecture for Data 360 implementations, including data model design, Data Streams, Identity Resolution, Calculated Insights, Segmentation, Activation targets, and more
- Lead the evaluation and design of integration approaches, including Data 360 connectors (MuleSoft, Ingestion API, Interaction SDK), Zero Copy Partner integrations (Snowflake, Databricks, Google BigQuery), and custom integration patterns
- Evangelize data strategy among stakeholders such as business users and various data teams through design, documentation, review and cross team negotiations to support strategic business and technology goals
- Map client source systems and work with their technical teams to define data contracts, transformation logic, and ingestion strategies for bringing data into Data 360
- Either implement solutions hands-on or lead a delivery team through implementation, ensuring architectural standards are met and the solution aligns with the agreed-upon design
- Own and implement technical roadmap for continuous improvement of data platform, including tech stack upgrade, cost optimization and compliance requirements