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engineering teams.\nStrong grasp of non-functional requirements at enterprise scale: scalability, availability, performance, security, compliance, resilience, and cost efficiency.\n\nData Architecture: \nProficiency with RDBMS (PostgreSQL, MySQL) and NoSQL systems (MongoDB, Cassandra, DynamoDB).\nUnderstanding of data architecture patterns at scale: data modelling, partitioning, replication, and event-sourced/streaming data systems.\n\nAI-Assisted Engineering: \nHands-on familiarity with AI-assisted development tools (code copilots, AI testing assistants, AI documentation tools) and demonstrated experience driving their adoption across teams.\n\nStakeholder and Business Skills: \nExperience partnering with senior business, product, and engineering leadership to align technology strategy with business goals.\nStrong communication and presentation skills with the ability to clearly articulate technical strategy and trade-offs to non-technical executives.\n\nGood-to-Have: \nStrong 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