Work in a specialized team that eliminates fragmented resource requests by owning the entire data lifecycle
Opportunities to lead high-impact discovery sessions that start with agency mission outcomes rather than product features
Support from leaders committed to your mastery of enterprise data architecture and designing data strategies that leverage MuleSoft, Tableau, Data 360, and Informatica
Build the trusted data foundations required for the next generation of Agentforce and autonomous AI agents
Conduct holistic discovery, reframing the 'data journey,' and designing compliant, AI-ready architectures that deliver actionable insights from disparate silos
Act as a trusted advisor who can navigate everything from API management to real-time data unification and advanced analytics

Minimum of 7 years of professional experience in Solution Engineering, Enterprise Architecture, or Digital Transformation
Hands-on experience or deep conceptual knowledge of Integration (MuleSoft), Data Analytics (Tableau), and Big Data/CDP (Data 360)
Excellent ability to reframe technical challenges into business value for C-level government executives and technical stakeholders alike
Understanding of the value of 'Trusted Context Foundations' for AI, including data grounding, RAG (Retrieval-Augmented Generation), and metadata intelligence
Proven ability to partner early with Account Executives to drive sales strategy and lead 'Data Discovery' from day one
Experience with database design, Java, APIs, and cloud infrastructure (AWS, Azure, GCP) is preferred
One of more
MuleSoft Certified Architect, Tableau Desktop/Server Specialist, or Salesforce Data Cloud Consultant

Principal Solution Engineer – Data, Integration, Agentic AI Data Strategy

Key skills