Data Architect Manager Jobs in Riverside, CA (NOW HIRING)

Who We Are

Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships.  We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement.

We Take Care of Our People

Along with competitive pay, as an employee of HCA, you are eligible for:

·        Medical, dental, and vision plans with no-cost and low-cost options

·        Annual employer HSA contribution

·        401(k) matching and immediate vesting

·        Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level:

o   Associate / Sr. Associate: $350

o   Manager / Sr. Manager: $600

o   Director: $800

o   Executive Director: $900

o   VP or Above: $1,000

·        100% employer-paid life and disability insurance

·        No-cost health and wellbeing programs, including a gym benefit

·        Six weeks of paid parental leave

·        Paid Volunteer Time Off, plus a company donation to a charity of your choice

What to Expect

The Sr. Data Warehouse Architect defines and governs enterprise data architecture across data warehouse, transactional, analytical, and near-real-time environments. This role leads complex architecture decisions, establishes enterprise standards, and ensures scalable, secure, and high-performing data solutions aligned with business, technology, and regulatory requirements.

What You Will Do

1. Enterprise Data Architecture Strategy and Design

·        Define and evolve enterprise data architecture, target-state designs, and integration patterns across warehouse, lakehouse, transactional, and analytical platforms.

·        Lead architecture decisions for complex, cross-functional initiatives to ensure solutions are scalable, secure, resilient, and aligned with business and technology strategy.

·        Establish standards for data modeling, storage design, integration patterns, and workload optimization across enterprise data domains.

·        Evaluate and recommend technologies, tools, and frameworks that improve performance, flexibility, cost efficiency, and long-term maintainability.

·        Serve as the senior architectural advisor to engineering, analytics, and business stakeholders on high-impact platform and design decisions.

2. Near-Real-Time and Streaming Architecture

·        Design architecture for near-real-time and streaming data solutions that support time-sensitive operational and analytical use cases.

·        Define architecture patterns for event-driven processing, change data capture, and hybrid batch/streaming data flows.

·        Lead design of cloud-based data platforms using AWS services to support scalable and reliable data delivery.

·        Establish standards for streaming, schema management, and processing models to support performance, consistency, and reuse.

·        Resolve complex technical issues and architectural tradeoffs involving latency, reliability, scalability, and interoperability.

3. Governance, Standards, and Risk Alignment

·        Define and enforce enterprise data architecture standards, naming conventions, metadata management practices, and data lineage requirements.

·        Partner with governance, security, compliance, and risk teams to ensure architectures align with enterprise controls and regulatory requirements.

·        Establish frameworks that promote data quality, consistency, traceability, and trusted use of enterprise data.

· Support architecture decisions related to platform modernization, data lifecycle management, privacy, and control environments.