Director, Data Architecture

About the Opportunity

The Director, Data Architecture will define, govern, and evolve the enterprise data architecture to create a scalable and trusted data foundation. This pivotal role leads the design of architecture standards and domain-aligned data structures that support advanced analytics, AI, reporting, and data product innovation. Collaboration with engineering, analytics, governance, and business teams is key to advancing data architecture principles and operationalization.

Responsibilities

• Define and evolve enterprise data architecture principles, standards, and reference architectures aligned with business priorities.
• Lead design and maintenance of conceptual, logical, and physical data structures ensuring consistent definitions and shared semantics.
• Establish domain-oriented architecture patterns for reusable, governed data products and interoperable data flows.
• Develop architecture patterns supporting batch and streaming workloads, including event-driven and canonical representations.
• Partner with data engineering teams to translate architecture and logical designs into scalable physical implementations on AWS cloud platforms.
• Ensure consistent data definitions, lineage, and metadata documentation using cataloging and lineage platforms.
• Maintain a central repository of architecture artifacts, definitions, and metadata documentation.
• Influence data design decisions across programs and projects through architecture reviews and standards enforcement.
• Facilitate architecture and data design workshops with business and technical stakeholders.
• Lead, mentor, and develop a team of data architects and specialists to ensure consistent architecture delivery.
• Stay current on evolving architecture trends and evaluate their applicability to the organization.

Requirements

• Bachelor’s degree required, preferably in Computer Science, Information Systems, or a related technical field; Master’s preferred.
• 10 to 15 years of experience in data architecture roles, including leadership experience.
• Significant experience designing and implementing architecture in cloud-based, modern data ecosystems.
• Experience supporting large-scale data programs within retail, consumer products, or related industries preferred.
• Familiarity with AWS data services such as S3, Redshift, Glue, and Lake Formation.
• Experience with data cataloging, metadata management, and lineage tracking platforms.
• Understanding of modern data formats and storage approaches including Parquet, Iceberg, and Delta Lake.
• Deep expertise in conceptual, logical, and physical data architecture across diverse technology stacks.
• Strong understanding of modern data architecture concepts including data mesh, event-driven design, and data products.
• Ability to translate complex business requirements into scalable and reusable architecture designs and standards.
• Excellent collaboration, facilitation, and influencing skills across technical and business teams.
• Strong analytical and problem-solving abilities with a results-driven mindset.

Benefits & Perks

• Competitive pay and bonuses.
• Financial planning and wellbeing programs.
• Paid time off for personal needs and recharging.
• Employee discounts and community-based programs.
• Opportunities for personal and professional growth and development.
• Comprehensive health and wellness programs.

Key skills/competency

• Enterprise Data Architecture
• Cloud Data Ecosystems
• AWS Data Services
• Data Governance
• Data Modeling
• Data Product Innovation
• Metadata Management
• Event-Driven Architecture
• Data Mesh
• Leadership & Mentoring