Lead Technical Consultant - Data Cloud

Perficient•Detroit, MI

14h•Remote

About The Position

This role can be located anywhere in the United States with a preference for the candidate to be located near a major US Airport throughout the Midwest. Perficient is the global AI-first consultancy. We empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what's possible while building a career filled with growth, balance, and purpose. Role Overview We are seeking a highly skilled Salesforce Data Cloud Engineer to design, implement, and optimize our enterprise data strategy. In this role, you will be responsible for the end-to-end technical execution of Salesforce Data Cloud (Data 360). You will build data streams, define identity resolution rules, create calculated insights using SQL, and enable marketing and sales teams to activate highly personalized customer journeys. The ideal candidate is a "data-first" thinker who understands both the technical nuances of data architecture and the business value of a unified customer profile.

Requirements

Salesforce Certifications: Salesforce Data Cloud Consultant (Highly Preferred).
Core Competencies Problem-Solving: Ability to troubleshoot complex data mismatches and integration errors.
Communication: Ability to translate technical data concepts into business value for stakeholders.
Detail-Oriented: A rigorous approach to data quality and validation.

Responsibilities

Design and configure Data Streams to ingest data from various sources, including Salesforce CRM, Ford Pro 360 etc
Manage data ingestion frequencies and monitor data stream health to ensure reliability.
Utilize MuleSoft or other ETL tools to bring legacy or siloed data into the Data Cloud environment.
Map Data Lake Objects (DLOs) to the Data Model Objects (DMOs) within the Salesforce Cloud Information Model (CIM).
Configure Identity Resolution rulesets (Match and Reconciliation rules) to deduplicate records
Maintain and evolve the data model to accommodate new business requirements and data points.
Work with Marketing teams to build segments
Configure Activation Targets (e.g., Marketing Cloud, Amazon S3, Personalization) to push unified data back into engagement channels.
Optimize segment refresh schedules to balance performance and data currency.
Ensure compliance with data privacy regulations (GDPR, CCPA) by implementing proper data deletion and consent management workflows.
Monitor system performance, credits usage, and storage limits within the Data Cloud instance.