• Define and drive the overall **SoC architecture** for complex embedded systems • Translate product requirements into scalable technical solutions • Lead architectural trade-off analysis across performance, power, cost, and manufacturability • Collaborate with multidisciplinary engineering teams throughout product development • Support system integration, verification, and product validation activities • Provide technical leadership and architectural guidance across engineering organizations • Contribute to technology roadmap definition and long-term product strategy • Present technical recommendations and architectural decisions to stakeholders

• Lead enterprise data/API integration. • Set standards in scope of design, development, quality and testing. • Designs and communicates enterprise wide databases architecture. • Design databases architectures, schemas, analytic platform and BI services, data governance. • Elicits needs, analyses requirements. • Transfers business, users and technical needs into architectures. • Maps business goals, project benefits, priorities, components, system features. • Analyses available systems, applications and services. • Identify options for potential solutions. • Maintains and tracks architecture in systems lifecycle. • Estimate and size network infrastructure in accordance with the requirements of the systems and business applications. • Contributes to systems design, testing, quality assurance, change management. • Prepares system documentation and provides presentations. • Lead development teams and development processes. • Selects and evaluates technologies. • Collects and interprets system metrics. • Optimizes system from performance, security and quality points of view. • Contribute to Enterprise Architecture repository and managing required artifacts.

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

• Define and execute application modernization strategies for legacy platforms and user experiences. • Design and promote API-first, microservices-first, and event-driven architectures. • Provide architectural direction and mentorship to Team Leads and engineering squads. • Evaluate existing systems to build migration strategies, risk assessments, and target architectures. • Collaborate with clients and business leaders; confidently present proposals and negotiate technical approaches with challenging stakeholders. • Establish and promote enterprise-wide architecture standards, best practices, and governance processes. • Support integration initiatives involving legacy ESBs and modern integration platforms.