Sr. Data Architect

You have a unique opportunity to help shape the future of data architecture at Skechers. As a Data Architect you will be instrumental in defining developing and scaling our enterprise-wide data architecture. This includes implementing data governance enabling data observability and driving consistency in data design and usage across platforms. You will partner closely with engineering analytics security and business teams to build a modern secure and reliable data foundation that supports reporting analytics and AI/ML use cases.

RESPONSIBILITIES

• Lead the design and implementation of enterprise data models data pipelines and data platforms to support strategic data initiatives.
• Develop architectural frameworks that support scalable and secure data processing using Medallion architecture (Bronze/Silver/Gold layers).
• Define and enforce best practices for SCD Type 2 data modeling change data capture (CDC) and change tracking across data domains.
• Establish and promote data governance principles including data quality cataloging lineage and stewardship across the enterprise.
• Collaborate with engineering teams to ensure architecture supports both batch and real-time data processing needs.
• Provide architectural guidance for data migration integration and modernization efforts across on-premises and cloud-based systems.
• Design and implement data observability mechanisms for monitoring data reliability freshness and schema drift.
• Develop and manage data security strategies to ensure compliance with regulatory and organizational standards.
• Deliver proof of concepts technical designs and documentation that align with business and technical requirements.
• Mentor data engineers and analysts on architectural standards and best practices.

QUALIFICATIONS

• 5 years of experience in designing building and maintaining enterprise data architecture solutions.
• Proficiency in Python and SQL with experience building and documenting data pipelines and writing code in notebooks (e.g. Jupyter Databricks).
• Deep understanding of dimensional modeling data normalization and SCD (Slowly Changing Dimension) techniques particularly Type 2.
• Strong experience with modern data architecture paradigms including medallion architecture data mesh and data Lakehouse.
• Hands-on experience in at least one major cloud platform (AWS GCP Azure) ideally AWS (e.g. Glue Lake Formation Redshift Athena).
• Familiarity with data cataloging lineage tools and metadata management solutions such as Collibra Alation or AWS Glue Data Catalog.
• Experience with data governance frameworks data privacy laws (GDPR CCPA) and implementation of row/column-level data access controls.
• Knowledge of change data capture (CDC) tools and patterns including Debezium Qlik Replicate or AWS DMS.
• Proficient in data modeling tools such as Erwin dbt or similar.
• Experience with streaming and event-driven architectures (Kafka Kinesis Redpanda).
• Familiarity with SaaS platforms such as Databricks Astronomer (Airflow) and Snowflake is a plus.
• Strong analytical mindset and ability to communicate architectural decisions to both technical and non-technical audiences.

WORK EXPERIENCE

• 5 years of progressive experience in data architecture data engineering or a related field.
• Demonstrated success in leading data architecture initiatives and aligning technical design with business needs.
• Experience working in Agile environments and participating in enterprise-level data transformation programs.

JOB-RELATED EDUCATION

Bachelors or Masters degree in Computer Science Information Systems Engineering or a related technical fieldor equivalent work experience.

150000 - 180000

About Skechers

Skechers a global Fortune 500 company developsand markets a diverse range of lifestyle and performance footwear apparel and accessories. Serving over 180 countries and territories Skechers connects customers to products through department and specialty stores e-commerce and digital stores and through our more than 5300 Skechers retail locations.

Equal Employment Opportunity
Skechers is committed to providing a safe inclusive and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race color religion gender gender identification and expression national origin marital status age disability genetic information military status sexual orientation or any other protected characteristic established by local state or federal law.

Reasonable Accommodation
Applicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing
To perform this job successfully an individual must be able to perform each job responsibility satisfactorily. The skills abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities who are otherwise qualified for the job position to perform the essential functions.