What Will You Be Doing
Area 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 data architectures (e.g., batch vs. streaming, Delta vs. Iceberg), orchestration tools (Airflow, Argo), and scalability patterns. Performance Cost Efficiency
Implement best practices for partitioning, indexing, and resource optimization. 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. What Do We Expect From You
Area Expectations
Experience Skills
7-10 years in platform/data engineering. Proficient in 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.