Digital Commerce Platform Architect

Job Description Our client is looking for a Digital Platform Architect to join the Data and Platform Architecture team. Our client is in the early stages of a massive customer transformation project and moving 2 of their major commerce platforms to transactional commerce sites. They are looking for a resource who can come in and hit the ground running both technically and from a leadership perspective. They will be about 70% hands on technically with the project, and 30% leadership responsibilities. Ability to strategically scale large initiatives organizationally wide We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022u20037+ years of platform architecture and/or sr. level development experience. u2022u2003Digital commerce platform integration, implementation, and deployment expereince u2013 B2B digital commerce preferred. u2022u2003At least 1 year of leadership experience. u2022u2003Strong understanding of MACH architecture (Microservices, API-first, Cloud-native, and Headless) u2022u2003End to end data architecture experience: ou2003Ingestion u2013 processing and transformation (ETL) u2013 storage u2013 analysis u2013 delivery u2022u2003Experience designing, developing, and maintaining data pipelines. u2022u2003Data processing frameworks u2013 Apache Spark, Apache Kafka, etc. u2022u2003Experience with Docker, Kubernetes (AKS), GitHub Actions, Argo CD, Terraform, etc. u2022u2003Experience driving AI and data architecture initiatives. u2022u2003Solution oriented and ability to communicate effectively across the organization at all levels. u2022u2003BA in related field. u2022u2003Any relevant certifications in data architecture, data engineering, or cloud platforms ou2003AWS certified data analytics, google cloud professional data engineer, etc. u2022u2003Knowledge of data governance frameworks and compliance standards. u2022u2003Experience implementing data security measures.

Created: 2025-12-04