Role Description 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. - 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. Qualifications - 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. Requirements - 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