Own the roadmap and delivery of scalable data platform components.
Guide teams to design reusable, secure platform solutions for analytics.
Define and enforce platform architecture standards and development patterns.
Partner with engineering, analytics, and product teams for reliable data.
Drive modern data architecture adoption, including self-service analytics.
Evaluate technology choices to improve scalability, reliability, developer productivity, and cost efficiency.

🎯 Requirements

8+ years in data engineering or cloud data architecture; 3+ years in leadership.
Strong SQL, Python, data modeling, ELT/ETL, and modern data patterns.
Hands-on Snowflake and AWS data services (EKS, S3, Lambda, Glue, Redshift).
Experience with Airflow, dbt, or similar orchestration tools.
Deep understanding of data warehouse, lakehouse, and enterprise data platform architectures.
Experience implementing data quality, lineage, metadata management, and observability.

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