Enterprise Data Architect, Forward Deployed Engineering
About the role
Role Overview As Enterprise Data Architect within Forward Deployed Engineering, you are the architectural authority for how customer data becomes trustworthy, AI-ready fuel for agentic solutions on the Business AI Cloud. You will partner directly with FDE engineers and enterprise clients to design the data models, integration patterns, and governance standards that ground retrieval, multi-agent orchestration, and SLM/LLM workflows in accurate, compliant, well-structured enterprise data. This is a hands-on, cross-engagement role: you will move across multiple concurrent customer deployments - spanning source systems such as AWS, GCP, SAP, Salesforce, AS/400, D365, and Outlook/M365 - codifying reusable data architecture patterns rather than solving each integration from scratch. You will also help scale the FDE organization's data maturity, mentoring engineers and building the playbooks that let Uniphore stand up new customer data foundations quickly, securely, and consistently.
Responsibilities
- Cross-Engagement Data Architecture: Serve as the principal data architecture authority across multiple concurrent FDE customer engagements, ensuring data models, pipelines, and integration designs are scalable, secure, and consistent with BAIC platform standards.
- AI-Ready Data Design: Define canonical and dimensional data models, embedding/vector store schemas, and retrieval-grounding data structures that power RAG pipelines, multi-agent orchestration, and SLM/LLM fine-tuning for customer solutions.
- Enterprise Integration Leadership: Architect integration patterns across enterprise source systems - AWS, GCP, SAP, Salesforce, AS/400, D365, Outlook/M365, and other ERP/CRM/legacy platforms - establishing connector strategies for both cloud and on-premise environments.
- Data Quality & Governance: Establish data quality, lineage, metadata, and governance standards so agentic AI systems operate on validated, auditable data; define observability and monitoring practices for data pipelines feeding production agents.
- Reusable Frameworks & Playbooks: Own and extend Uniphore's enterprise integration playbook and data architecture asset library, turning patterns learned on individual engagements into reusable frameworks that accelerate future deployments.
- Team Leadership & Mentoring: Mentor FDE engineers on data modeling, ETL/ELT design, and enterprise integration best practices; review and validate data architecture decisions across the FDE portfolio.
- Customer & Stakeholder Partnership: Act as a trusted data architecture advisor to senior customer stakeholders, translating ambiguous data landscapes and legacy system constraints into pragmatic, scalable designs.
- Build vs. Buy & Tooling Strategy: Evaluate data platform, ETL, and data quality tooling; lead POCs and make build-vs-buy recommendations balancing cost, performance, and time-to-value for customer deployments.
- Product & Platform Feedback: Partner with Product and Platform Engineering to feedback connector gaps, data architecture requirements, and customer pain points observed across engagements, shaping the BAIC data layer roadmap.
- Compliance & Security: Partner with Security and customer compliance teams to ensure data privacy, encryption, residency, and regulatory requirements are met across regulated industries (e.g., healthcare, financial services).