Must-Haves Experience: 6+ years of experience in data platform engineering, data infrastructure, or backend engineering, with at least 2+ years of experience leading, managing, or mentoring a team of engineers. Language Proficiency: Strong proficiency in Python (or similar languages) and advanced software engineering principles (clean code, CI/CD, testing paradigms). Data Architecture: Extensive experience architecting and operating scalable data lakes/lakehouses, distributed systems, and real-time event-driven architectures. Cloud Native & IaC: Experience with AWS, GCP, or Azure, alongside hands-on experience with containerization (Docker, Kubernetes) and Infrastructure-as-Code (e.g., Terraform). Databases & Storage: Strong knowledge of relational (e.g., PostgreSQL), NoSQL, and analytical databases, including performance optimization, schema design, and cost tuning at scale. Execution & Delivery: Proven track record of managing sprint planning, scoping technical projects, and delivering complex data infrastructure roadmaps on time.
