Partner with the Director, Data Architecture to implement enterprise data architecture standards and ensure consistent adoption across domains and initiatives
Lead architecture design for assigned domains and initiatives, including conceptual, logical, and physical data structures aligned to business requirements and data products
Define and maintain domain-aligned data definitions and semantic consistency to support a unified understanding of key business entities and metrics
Develop architecture patterns that support batch and streaming use cases, including event-driven data flows and canonical representations
Collaborate with data engineering teams to translate architecture designs into scalable physical implementations on AWS cloud data platforms
Participate in architecture and design reviews, providing guidance, feedback, and enforcement of standards for new data products and platform changes
Partner with governance teams to align architecture with data quality, privacy, security, access controls, classification, retention, and metadata requirements
Maintain architecture artifacts and documentation in a central repository, including definitions, reference designs, and decision records to improve reuse and consistency
Facilitate workshops with business and technical stakeholders to capture requirements, refine definitions, and align on domain boundaries and ownership
Identify architecture gaps and improvement opportunities, and recommend practical enhancements to standards, patterns, and tooling that improve scalability and interoperability
Coach and enable engineers and analysts on architecture expectations and best practices through working sessions, office hours, and documentation

Requirements

Bachelor’s degree required, preferably in Computer Science, Information Systems, or a related technical field; Master’s degree preferred
8 to 12 years of experience in data architecture and related roles
Experience designing architecture in modern cloud-based data ecosystems, including AWS-based platforms
Experience supporting domain-oriented data products, data mesh concepts, and event-driven approaches preferred
Experience with metadata management, data cataloging, and lineage concepts and platforms
Strong expertise in conceptual, logical, and physical data architecture across diverse technology stacks
Strong understanding of modern data architecture concepts including domain-driven design, data products, and event-driven data flows
Ability to translate complex business requirements into scalable and reusable architecture designs
Excellent collaboration, facilitation, and influencing skills across technical and business teams
Strong analytical and problem-solving abilities combined with a results-driven mindset
Comfortable operating in a fast-paced, matrixed, and global environment

Benefits

Competitive Pay and Bonuses
Financial Planning and wellbeing
Time away from work
Extras, discounts and perks
Growth and Development
Health and Wellness

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturecloud-based data ecosystemsAWSmetadata managementdata catalogingdata lineageconceptual data architecturelogical data architecturephysical data architectureevent-driven data flows

Soft Skills

collaborationfacilitationinfluencinganalytical skillsproblem-solvingresults-driven mindset

Certifications

Bachelor’s degreeMaster’s degree