Senior Data Warehouse Engineer Jobs (NOW HIRING)

Description
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.
Qualifications
What You Will Bring
• Minimum 8 years progressive experience in data architecture, data engineering, or related technical roles.
• Experience designing enterprise data warehouse, transactional, analytical, and near-real-time data architectures.
• Strong hands-on experience with AWS data services, including Redshift, RDS, S3, Glue, Apache Iceberg, Lake Formation, Athena, and related tools.
• Experience with Oracle and relational database design in complex enterprise environments.
• Experience designing streaming and near-real-time data architectures using Kafka, Kinesis, or similar technologies.
• Experience working in enterprise-scale cloud data environments within regulated industries.
• AWS certification(s) such as Solutions Architect, Data Analytics, or Database Specialty.
• Familiarity with CI/CD, infrastructure-as-code, and modern data platform delivery practices.
• Experience with event-driven microservices architectures and schema registries (Glue Schema Registry, Confluent Schema Registry).
• Experience with BI/reporting tools (OBIEE, Tableau, or similar).
• Bachelor's degree in Computer Science, Engineering, Technology or a related discipline.
• Strong knowledge of enterprise data architecture principles, including warehouse, lakehouse, transactional, and analytical platform design.
• Strong knowledge of data modeling, ETL/ELT architecture, data integration, and modern lakehouse design.
• Strong knowledge of cloud-native data platform architecture and AWS data services.
• Knowledge of near-real-time and streaming architecture patterns, including event-driven processing and change data capture.
• Strong understanding of data governance, metadata management, data lineage, and data cataloging.
• Knowledge of data privacy, security, and control requirements relevant to enterprise data architecture.
• Ability to analyze business and system requirements and design scalable, secure, and high-performing data solutions.
• Ability to evaluate architectural tradeoffs involving performance, latency, reliability, interoperability, and cost.
• Ability to work independently and influence cross-functional stakeholders on complex technical decisions.
• Strong verbal, written, and interpersonal communication skills.
Work Environment
Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment.
The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range.
California Privacy Notice
This notice only applies to our applicants who reside in the State of California.
The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 ("CCPA").
If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com .