Skechers U.S.A.
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Associate Data Architect
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Skechers . As an Associate 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. Hybrid work schedule based out of Manhattan Beach, CA office. Responsibilities Work on the design and implementation of enterprise data models, data pipelines, and data platforms to support strategic data initiatives. Support and use architectural frameworks that support scalable and secure data processing using Medallion architecture (Bronze/Silver/Gold layers). Enforce best practices for SCD Type 2 data modeling, change data capture (CDC), and change tracking across data domains. Learn 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. Learn and implement data observability mechanisms for monitoring data reliability, freshness, and schema drift. Learn 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. Partner with data engineers and analysts on architectural standards and best practices.
Qualifications
Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related technical fieldor equivalent work experience. 1+ 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). Good understanding of dimensional modeling, data normalization, and SCD (Slowly Changing Dimension) techniques, particularly Type 2. Strong understanding of modern data architecture paradigms including medallion architecture, data mesh, and data Lakehouse. Some 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. Good understanding of 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, Qlik Replicate, or AWS DMS. Some understanding of 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. Basic understanding of data architecture concepts and ability to support technical design aligned with business needs. Familiarity with Agile environments and eagerness to contribute to data transformation projects.
Salary: $90,000 - $120,000 USD. 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 to race, color, religion, gender, gender identity 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 benefits@skechers.com. Additional Information Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology Industries: Retail
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Associate Data Architect
role at
Skechers . As an Associate 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. Hybrid work schedule based out of Manhattan Beach, CA office. Responsibilities Work on the design and implementation of enterprise data models, data pipelines, and data platforms to support strategic data initiatives. Support and use architectural frameworks that support scalable and secure data processing using Medallion architecture (Bronze/Silver/Gold layers). Enforce best practices for SCD Type 2 data modeling, change data capture (CDC), and change tracking across data domains. Learn 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. Learn and implement data observability mechanisms for monitoring data reliability, freshness, and schema drift. Learn 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. Partner with data engineers and analysts on architectural standards and best practices.
Qualifications
Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related technical fieldor equivalent work experience. 1+ 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). Good understanding of dimensional modeling, data normalization, and SCD (Slowly Changing Dimension) techniques, particularly Type 2. Strong understanding of modern data architecture paradigms including medallion architecture, data mesh, and data Lakehouse. Some 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. Good understanding of 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, Qlik Replicate, or AWS DMS. Some understanding of 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. Basic understanding of data architecture concepts and ability to support technical design aligned with business needs. Familiarity with Agile environments and eagerness to contribute to data transformation projects.
Salary: $90,000 - $120,000 USD. 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 to race, color, religion, gender, gender identity 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 benefits@skechers.com. Additional Information Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology Industries: Retail
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