Sr. Data Architect

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.

EDUCATION AND EXPERIENCE:

• Bachelors or Masters degree in Computer Science Information Systems Engineering or a related technical fieldor equivalent work experience.
• 8 years of proven expertise in architecting developing and optimizing large-scale enterprise data architecture solutions.
• Advanced proficiency in Python and SQL with extensive experience in designing building and documenting complex data pipelines and developing scalable code within notebook environments (e.g. Jupyter Databricks).
• Expert-level knowledge of dimensional modeling data normalization and advanced Slowly Changing Dimension (SCD) methodologies with a focus on Type 2 implementations.
• Deep familiarity and hands-on leadership with cutting-edge data architecture frameworks including medallion architecture data mesh and Lakehouse paradigms.
• Extensive hands-on experience with leading cloud platforms (AWS preferred) including services such as Glue Lake Formation Redshift and Athena driving cloud-native data solutions.
• Proven track record with enterprise-grade data cataloging lineage and metadata management tools such as Collibra Alation or AWS Glue Data Catalog to ensure data governance and quality.
• In-depth knowledge and practical implementation experience with data governance frameworks regulatory compliance (GDPR CCPA) and granular data access controls at row and column levels.
• Expertise in change data capture (CDC) technologies and architectures including tools like Qlik Replicate or AWS DMS for real-time data synchronization.
• Mastery of data modeling platforms such as Erwin and dbt with a focus on driving robust scalable data models across the enterprise.
• Strong background in streaming and event-driven systems leveraging Kafka Kinesis Redpanda or equivalent technologies for real-time data processing.
• Familiarity with SaaS-based data platforms such as Databricks Astronomer (Airflow) and Snowflake with an emphasis on integrating and optimizing cloud data ecosystems.
• Exceptional analytical skills combined with the ability to articulate complex architectural strategies and decisions clearly to both technical teams and business stakeholders.
• 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.

The annual salary range for this position is $135000 - $185000 USD.

About Skechers
Skechers (NYSE: SKX) a global Fortune 500 brand develops and markets a diverse range of lifestyle and performance footwear apparel and accessories. Developing comfort technologies is the foundation of all we do delivering stylish innovative and quality products. 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 5200 company-and third-party-owned retail locations. Headquartered in Southern California with offices and distribution centers around the globe Skechers has spent 30 years helping people of all ages look and feel good.

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.