Staff Engineer I

Responsibilities

• Platform Reliability & Operations: Ensure availability, stability, observability, and scalability of the data platform. Own production issue resolution, RCA, and continuous improvements.
• Architecture & Feature Development: Lead design and delivery of platform features. Make informed choices across modern data architecture and distributed systems
• Performance & Cost Efficiency: Implement best practices for performance engineering , resource optimization and lean and efficient data pipelines. Drive cost efficiency through FinOps-aligned design and observability.
• Platform Thinking & Governance: Treat platform as a product-balance usability, governance, and adoption. Define and track KPIs for usage, performance, and cost.
• Code Excellence & Engineering Discipline: Write modular, testable, and maintainable code. Build CI/CD pipelines, structured logging, and enable observability and debugging by design.
• Collaboration & Leadership: Collaborate across teams, own stakeholder communication, drive sprint execution, and contribute to documentation. Mentor engineers and influence best practices.

Requirements

• Experience & Skills: 7-10 years in distributed systems /data engineering. Proficient in Java, Spark, Python, Shell, Kubernetes, CI/CD, Terraform, observability tools, and Linux-based systems.
• Cloud & Data Ecosystem: Hands-on with Azure/GCP/AWS, modern orchestration tools, data formats (Parquet, Delta, Iceberg), and compute engines (Databricks, Clickhouse, Trino).
• System Design & Optimization: Design scalable, fault-tolerant systems with efficient storage, caching, and cost control. Experience with model serving frameworks is a plus.
• Governance & Reliability: Apply data access policies, SLA/SLO tracking, and schema evolution best practices. Enable monitoring, auditing, and incident management.
• Leadership & Ownership: Take initiative, prioritize business impact, mentor team members, and drive accountability in delivery and technical decision-making.

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