• Serve as the primary technical authority for CPQ and Quote-to-Cash initiatives, representing Zaelab in client-facing architectural discussions, solution reviews, and technical decision-making. • Act as a subject matter expert in Quote-to-Cash processes, including product modeling, pricing strategies, discounting, approvals, contracts, and downstream order fulfillment. Lead architecture and functional design of custom product configurators, including technologies such as Logik.ai (ServiceNow). Translate complex revenue models into scalable CPQ architectures aligned with platform best practices. • Design scalable and secure architectures that integrate with commerce platforms, ERP systems, CDPs, middleware, and adjacent enterprise systems. Collaborate with clients and internal teams to create prototypes and proofs of concept to validate requirements and solution approaches. • Conduct business and technical discovery, assessing current-state revenue systems and defining future-state CPQ roadmaps. Lead business process mapping sessions and produce functional and architectural documentation. Perform gap analysis and identify opportunities to optimize business processes through CPQ and commerce capabilities. • Maintain a hands-on approach to solution delivery, contributing to configuration, development, and technical problem-solving alongside the team. Partner closely with developers to ensure designs are implemented accurately and efficiently. Troubleshoot complex functional and technical issues, identifying root causes and driving resolution. • Troubleshoot complex technical issues, ensuring consistent delivery momentum and high-quality outcomes. • Mentor consultants, developers, and analysts on CPQ architecture patterns, platform capabilities, and delivery best practices. Coach teams on balancing functional requirements with technical feasibility and long-term maintainability. Set quality standards for CPQ design, documentation, and delivery execution. • Partner with Solution Engineering and Sales teams to scope engagements, propose architecture approaches, and communicate solution value to B2B clients. Build trusted relationships with client sponsors and stakeholders, guiding strategic decision-making. Clearly articulate CPQ solution value to technical and non-technical audiences. • Contribute to Zaelab accelerators, templates, and repeatable CPQ implementation patterns. Stay current with CPQ, commerce, and platform trends, sharing insights internally and externally. Participate in internal enablement, client workshops, and industry/community forums.

• 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