• Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy.
• Deep expertise designing, building, and operating distributed data systems at global scale.
• Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms.
• Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP.
• Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce.
• Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments.
• Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders.
• Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders.
• Strong executive presence with the ability to translate complex architecture concepts into business language.
• Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences.
• Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams.
• Bachelor’s or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

Principal Data Architect

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