Collaborate closely with Product Owners, business users, internal departments, and external customers to understand business requirements and translate them into scalable and practical software solutions.
Ensure software delivery aligns with product goals, user experience, operational requirements, and customer expectations.
Define and maintain software development standards, architecture guidelines, coding practices, documentation standards, and security best practices.
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Build and operate the harder engineering layers of a solution when projects demand it: orchestrated pipelines, worker-based and event-driven architectures, stream processing, and scaling for data volume and concurrency.
Own solution quality: data validation, model evaluation, reproducibility, performance, and operational reliability (monitoring, alerting, failure recovery).
Lead and mentor a team of junior data scientists and analysts; review their work, unblock them technically, and grow their skills.
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