Data Architect - Senior

Data Architect Location : Remote Role Duration : 6+ Months Contract The Role Architect and lead implementation of Data platform self-service capabilities across ingestion, processing, storage, and consumption layers Drive adoption of modern data stack technologies and best practices (e.g., data lakehouse architecture). Partner with product managers, data scientists, analysts, and engineering teams to translate business needs into scalable technical solutions. Mentor data engineers and provide architectural oversight during design, implementation, and deployment phases. Define and enforce standards for access control, quality, cataloging, and observability across domains. Provide hands-on leadership and technical mentorship to Software engineers, data engineers and platform developers. Collaborate with enterprise architecture, security, and infrastructure teams to align with broader org standards and policies. Evaluate emerging tools and technologies in the data ecosystem and recommend solutions to improve scalability, performance, and cost-efficiency. Own architecture documentation and promote reuse of patterns and capabilities across Data Platform. Ensure platform compliance with data privacy and security requirements (e.g., GxP).  Break into Basic Qualifications and Preferred Qualifications  Basic Qualifications: Over 8 years of experience in software engineering, with a strong focus on designing and implementing scalable data architectures. Proven expertise in architecting end-to-end data solutions on AWS Background in architecting and leading self-service data platform capabilities Deep understanding of data lakehouse architecture Hands-on experience with data services such as AWS Glue, Amazon Redshift, as well as proficiency in Python, SQL, and dbt, spark and apache iceberg Hands-on experience with CI/CD, infrastructure as code, and modern DevOps practices Experience leading teams or mentoring junior engineers. Excellent communication and leadership skills with the ability to influence both technical and non-technical stakeholders  Preferred Qualifications: Experience with data governance frameworks, lineage, cataloging, and metadata management Familiarity with data privacy, compliance, and security best practices. Prior experience working in a highly collaborative environment with product, data science, and analytics teams. Job Type: Contract Pay: $80.00 - $90.00 per hour Schedule: Monday to Friday Work Location: Remote