Data Architect; Remote

About The Role

As Staff Data Architect you will serve as a technical expert responsible for defining and evolving enterprise data architecture across the full data lifecycle, from origination and ingestion to transformation and consumption, ensuring data is trusted, well-governed, and scalable across domains.

• Define and maintain the overall enterprise data architecture and supporting documentation including data sourcing patterns, ingestion pipelines, data flows, system inventories, and integration maps to ensure transparency, traceability, and scalability across cloud and on-prem environments
• Design and refine conceptual, logical, and physical data models and establish reusable design patterns that drive consistency and accessibility across business domains
• Maintain accurate, accessible architecture artifacts. Lead design reviews to ensure architectural integrity and visibility of decisions across teams. Champion technical excellence, performance optimization, and continuous improvement of architectural assets
• Partner with business and technology teams to embed ownership, quality, and governance principles into all data solutions from data sourcing and ingestion to transformation and delivery. Ensure compliance with data privacy, security, and governance standards while aligning architectural work with enterprise strategy
• Partner with product managers, software engineers, data engineers, designers, data scientists, and analytics teams to deliver scalable, reusable, and well-governed data solutions that meet business goals
• Shape the enterprise data strategy by driving modernization, metadata management, and automation. Evaluate and recommend platforms, tools, and technologies to guide architecture evolution and legacy rationalization
• Guide data producers and consumers to design scalable, governed data flows. Mentor teams in applying best practices for maintainability, governance, and solution consistency
• Partner with enterprise architects and platform teams to align data solutions with broader cloud, analytics, and technology strategies
• Additional tasks may be assigned

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field
• 7+ years of experience in data architecture, engineering, or enterprise data management, ideally within large-scale enterprise or retail technology environments, with a proven track record of designing and delivering scalable data solutions
• Proven expertise with distributed data processing frameworks (e.g., Spark, Kafka, Flink) and cloud-native data ecosystems (GCP, Big Query, Redshift). Deep knowledge of data modeling, integration, and distributed data architecture
• Strong proficiency in SQL, Python, and one or more modern data orchestration tools (e.g., Airflow)
• Experience defining and enforcing data design patterns, schema standards, and governance frameworks that drive consistency, scalability, and data quality across the enterprise
• Ensure data standards, quality, and governance frameworks are embedded across solutions. Advocate metadata-driven, domain-based design to improve data consistency, lineage, and self-service analytics
• Partner with cross-functional teams to align architecture with business priorities. Communicate technical concepts clearly and influence decisions through strong collaboration
• Demonstrated experience mentoring engineers and influencing cross-functional teams through expertise and vision