Senior AI-Driven Data Architect for Enterprise Platforms

Uniphore Technologies North America Inc; Palo Alto (CA); On-site; USD 233,000 - 291,000; Full time

Benefits offered by this job

Annual incentive

Stock options

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Paid time off

Job summary

Uniphore Technologies North America Inc is seeking an Enterprise Data Architect within Forward Deployed Engineering. You will define data models, governance standards, and scalable integration patterns across systems like SAP, Salesforce, D365, and Outlook/M365 to enable agentic AI on the BAIC platform.

The role requires hands-on design experience, mentoring engineers, and strong collaboration with customers to deliver trusted, scalable data foundations for AI solutions.

Qualifications

• 10+ years of experience in data architecture, data engineering, or enterprise data platform roles, including hands‑on design of large-scale, cloud-based data systems.
• Deep expertise in data modeling - dimensional modeling, canonical/semantic data models, and ETL/ELT pipeline design across relational and NoSQL systems.
• Hands‑on proficiency in SQL and Python; experience with modern cloud data platforms (AWS, Azure, or GCP) and data warehouse/lakehouse technologies (e.g., Snowflake, Databricks).
• Proven experience integrating enterprise systems - ERP (SAP), CRM (Salesforce), legacy platforms (AS/400), and Microsoft ecosystems (D365, Outlook/M365) - across cloud and on-premise architectures.
• Experience designing data foundations for AI/ML or GenAI use cases, including retrieval‑augmented generation, vector databases, and embedding pipelines, strongly preferred.
• Track record of establishing data governance, lineage, and quality standards across teams or client engagements.
• Prior experience in a client‑facing, consulting, or forward‑deployed engineering role, translating ambiguous business needs into technical data architecture.
• Strong communication skills, with the ability to bridge technical data architecture decisions and business stakeholder priorities.
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

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).

Skills

Data architecture

Data modeling

ETL/ELT design

SQL

Python

Cloud platforms (AWS/Azure/GCP)

ERP (SAP)

CRM (Salesforce)

Microsoft ecosystem (D365/Outlook/M365

AI/ML data foundations

Education

Bachelor's or Master's in CS/Data Science/Information Systems

Tools

Snowflake

Databricks

Tableau

Looker

Kafka

Job description

Uniphore Technologies North America Inc is seeking an Enterprise Data Architect within Forward Deployed Engineering. You will define data models, governance standards, and scalable integration patterns across systems like SAP, Salesforce, D365, and Outlook/M365 to enable agentic AI on the BAIC platform.

The role requires hands-on design experience, mentoring engineers, and strong collaboration with customers to deliver trusted, scalable data foundations for AI solutions.