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Tier-1 brand and metro location, but senior specialized Principal profile limits broad applicant density.
Requires deep data platform, big-data and cloud expertise making cross-industry transitions harder.
Explicit 12+ years, 5+ leadership, and mandatory big-data, cloud, and programming expertise.
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Lead architecture design for high-volume data systems and complex integrations ensuring robustness, security, and performance.
Design and build reusable frameworks and automated workflows to support merchandising, product design, and product development solutions.
Drive technical priorities, set engineering best practices, mentor senior engineers, and influence technology strategy across Consumer Products & Innovation teams.
12+ years experience in software engineering, including 5+ years in senior leadership or principal engineer roles.
Expertise in building and scaling data platforms, distributed systems, and cloud-native architectures (AWS, Azure, or GCP).
Advanced proficiency in at least one programming language: Python, Java, Scala, Go, or C++.
Experience with data engineering, analytics, machine learning infrastructure, big data technologies (e.g., Apache Spark, Kafka, Hadoop, Databricks), and modern DevOps practices (automation, CI/CD, IaC).
Strategic thinker capable of guiding teams through ambiguity and setting long-term technical direction in fast-paced, cross-functional environments.
Proven leader with experience delivering innovative solutions and driving organizational change at scale.
Technically proficient in advanced data platforms and AI/ML powered enterprise applications with strong communication and stakeholder management skills.