Lead design and architecture of data systems and backend services that ingest and process large volumes of data daily.
Architect and optimize data warehouse / OLAP systems (e.g., BigQuery, StarRocks, Snowflake, Redshift ) for analytics and reporting.
Build Golang microservices/APIs to integrate data with products and internal tools.
Define standards for data modeling, governance, and security .
Implement strategies for query performance optimization and cost reduction .
Own monitoring, scaling, and disaster recovery strategies for data infrastructure.
Mentor mid-level engineers and guide best practices.
Partner with leadership on long-term data platform strategy .
6+ years of professional experience in software engineering or data engineering.
Strong background in Golang backend development at scale.
Proven expertise with at least one data warehouse or OLAP platform (e.g., BigQuery, StarRocks, Snowflake, ClickHouse, Redshift).
Advanced SQL and query tuning skills.
Strong understanding of data architecture (warehouses, lakehouses, pipelines).
Experience with cloud infrastructure (GCP, AWS, or Azure).
Leadership experience in mentoring or guiding teams .