Sr. Data Architect

Job summary

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 Ske*** team is the place to be. Learn more about our brand at skx.com.

Benefits

Qualifications

• You have a unique opportunity to help shape the future of data architecture at Ske***.
• Mentor data engineers and analysts on architectural standards and best practices.
• 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

Responsibilities

• As a Data Architect, you will be instrumental in defining, developing, and scaling our enterprise-wide data architecture.
• 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.
• 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
• that must be met by an employee to successfully perform the essential functions of this job.

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