Skechers

Sr. Data Architect

Manhattan Beach, CA · Senior

Sponsorship not specified$150k-$180kDetected 4 days ago

PythonSQLSnowflakeRedshiftDatabricksAWSGCPAzureCloud PlatformsKafkaMachine LearningAirflowdbtData EngineeringCompliance

About the role

Join the thousands of innovators, advocates, and forces making an impact every day at one of the world's largest and most recognized footwear brands.
Whether you're passionate about transforming data into strategic assets or designing scalable systems that empower data-driven decisions, the SKECHERS team is the place to be.
You have a unique opportunity to help shape the future of data architecture at Skechers.

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).
Collaborate with engineering teams to ensure architecture supports both batch and real-time data processing needs.
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.

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).
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.
Experience with streaming and event-driven architectures (Kafka, Kinesis, Redpanda).
Strong analytical mindset and ability to communicate architectural decisions to both technical and non-technical audiences.
5+ years of progressive experience in data architecture, data engineering, or a related field.
Deep understanding of dimensional modeling, data normalization, and SCD (Slowly Changing Dimension) techniques, particularly Type 2.
Proficient in data modeling tools such as Erwin, dbt, or similar.

Familiarity with SaaS platforms such as Databricks, Astronomer (Airflow), and Snowflake is a plus.

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 benefits@skechers.com.

This listing is sourced directly from Skechers's careers page and normalized into a canonical job model.