Sr. Data Warehouse Architect

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: $1000

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.

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).

Bachelors 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 .