Salesforce Data Architect

Benefits:

• 401(k)

• 401(k) matching

• Health insurance

• Paid time off

**Position Overview

Stealth Solutions is seeking a senior individual contributor with a rare combination of Salesforce development depth, data architecture skills, MuleSoft integration experience, and hands-on Data 360 expertise. This role supports Dept. of Commerce – Federal Grants Programs. The role requires someone who builds: designing Salesforce data models, writing migration scripts, configuring MuleSoft integrations, and standing up Data 360 semantic models. The ideal candidate has spent years as a Salesforce developer (Apex, LWC, Flows) and has evolved into data-centric work: object model design, large-scale data migration, integration architecture, and analytics enablement through Data 360. We need someone who can think across the full data lifecycle from source system profiling through Salesforce object modeling to semantic layer definition - and who can personally execute each step.

**Core Responsibilities

-
Salesforce Data Modeling & Architecture: Design, extend, and optimize Salesforce data models including custom objects, relationships (master-detail, lookup, junction), record types, field configurations, and data storage patterns. Ensure model decisions support compliance reporting, analytics, and downstream integration. Develop data warehousing blueprints and evaluate data reusability for additional analyses.

-
Data Migration: Lead end-to-end data migration activities: source system inventory and profiling, field-level mapping to Salesforce objects, ETL job development with cleansing and transformation rules, and phased migration sprints with iterative validation. Maintain legacy data access per agency retention policies.

-
MuleSoft Integration Development: Build and maintain API-led integrations using MuleSoft Anypoint Platform. Implement System, Process, and Experience API layers connecting Salesforce with internal agency systems and external federal platforms. Write DataWeave transformations, configure CloudHub deployments, and implement error handling with retry mechanisms and automated alerting.

-
Data 360 & Semantic Layer: Configure and extend Salesforce Data 360 to build semantic models that enable natural-language querying and analytics. Define data relationships, business metrics, and calculated fields within the semantic layer. Support integration between Data 360, CRM Analytics, and Tableau Next.

-Comfortable with declarative-first approach - build and maintain complex Flows and Flow Orchestrations as the primary automation mechanism, alongside Apex classes and triggers where custom code is warranted. Develop Lightning Web Components and SOQL/SOSL queries to support reporting and UI requirements