Back
Tier-1 brand and Bangalore metro increase competition, but senior, specialized principal role reduces applicant density.
Medium because core data-platform skills transfer across industries, though marketing/retail domain experience is preferred.
High due to explicit 10+ years, principal-level mandate, and many required data-platform, cloud, and architecture skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the technical strategy and multi-year architecture for Nike's Marketing Data Foundation and BI consumption layers including APIs, semantic models, and data quality systems.
Lead the simplification, unification, and migration of data products across multiple teams to establish a single source of truth for marketing analytics and insights.
Mentor senior engineers, influence platform teams, and maintain accountability for setting and enforcing engineering standards across the organization while actively coding on critical challenges.
Minimum 10+ years of software and data engineering experience including senior or lead IC roles at large-scale data-driven companies.
Mastery in multiple backend languages (Java, Python, Scala) and expertise in distributed systems, data modeling, and API design.
Architect-level experience with modern data platforms (Databricks, Spark, Delta Lake, etc.) and streaming systems (Kafka, Flink).
Bachelor's or advanced degree in Computer Science or related field, or equivalent experience.
Experienced technical leader with proven ability to define enterprise-wide data platform architectures and drive large-scale simplifications and migrations.
Expertise in cloud architecture across AWS, GCP, or Azure focusing on security, cost, resilience, and multi-region deployments.
Skilled at partnering across engineering, product, security, and governance teams to establish standards and influence strategic direction in a complex, global enterprise environment.