Data Architect

This role is for one of the Weekday's clients Experience: 10–15 Years Location: Remote Shift: US Eastern Time JobType: full-time We are looking for an experienced Data Architect with a strong background in the Retail domain to join our growing data engineering team. The ideal candidate will act as a trusted extension of our internal technical team, taking ownership of multiple concurrent projects while collaborating closely with business and IT stakeholders. This is a hands-on technical leadership role requiring expertise in modern data platforms, strong analytical skills, and the ability to drive project execution from requirements through delivery. Key Responsibilities Collaborate closely with internal technical teams to deliver multiple data initiatives simultaneously. Design, develop, and optimize scalable data solutions using Python , Snowflake , and SQL . Review and maintain high-quality code developed by offshore engineering teams. Lead technical discussions and translate business requirements into scalable technical solutions. Work directly with Business and IT stakeholders to gather, refine, and validate requirements. Build data solutions independently whenever rapid execution is required. Monitor project progress, identify risks proactively, and communicate updates to leadership. Ensure project deliverables meet quality, performance, and timeline expectations. Provide technical guidance and mentor team members to achieve successful project outcomes. Required Skills 10–15 years of experience in Data Engineering, Data Architecture, or Data Analytics. Strong hands-on experience with Python . Strong expertise in Snowflake . Advanced SQL skills with experience writing and optimizing complex queries. Working knowledge of Looker . Experience designing scalable data pipelines and data warehouse solutions. Strong analytical and problem-solving abilities. Preferred Experience Prior experience in the Retail domain . Experience translating business needs into technical solutions. Experience leading technical teams and reviewing code. Exposure to cloud-based data platforms and modern analytics ecosystems. Strong stakeholder management and communication skills. Soft Skills Excellent leadership and ownership mindset. Strong communication and presentation skills. Ability to work independently with minimal supervision. Proactive risk identification and issue resolution. Ability to collaborate effectively with cross-functional and global teams. Must-have skills Python, Snowflake, SQL Good-to-have skills Looker, data warehousing, Data pipeline