Data Architect (P4642)

aligned with organizational objectives, including migration roadmaps from legacy batch pipelines to modern cloud-native platforms.

Mentor data engineering and AI platform teams

on architectural thinking, data modeling principles, and best practices for building production-grade data systems.

Evaluate and adopt emerging technologies

, including managed AI platforms, semantic layer tooling, and agentic AI frameworks, to improve platform capabilities and developer productivity.

Ensure security and compliance

The stated salary range represents the entire span applicable across all geographic markets from lowest to highest.  Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.

Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.

Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.

Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Design enterprise data architectures

for the KPM portfolio, including data modeling, integration patterns, pipeline design, and cloud-native storage strategies that are understandable to both technical and non-technical audiences.

Define and govern the semantic layer

: the business-friendly interface between complex data models and AI-powered applications, enabling natural language querying, agentic AI workflows, and self-service analytics against well-defined, governed data abstractions.

Architect AI-ready data platforms

that support both transactional and analytical workloads, with an emphasis on data product design, conformed dimensions, and patterns that accelerate AI and ML development (feature engineering, model training, and inference serving).