10+ years of hands-on experience in data architecture, data engineering, or related disciplines, with a proven track record of delivering enterprise-scale data solutions
Expertise in designing and implementing Data Platforms & Solutions, including end-to-end architecture covering ingestion, storage, processing, and consumption layers for both batch and real-time workloads
Deep understanding of Data Mesh principles, including domain-oriented data ownership, data-as-a-product mindset, self-serve data infrastructure, and federated computational governance
Proficiency in Databricks, including Delta Lake, Unity Catalog, notebooks, and building scalable ETL/ELT pipelines using Spark for large-scale data processing and analytics
Strong hands-on experience with Google Cloud Platform (GCP) data services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage, along with knowledge of GCP security, networking, and cost optimization best practices
Familiarity with Atlan for metadata management, data cataloging, lineage tracking, and enabling enterprise-wide data discovery and governance initiatives
Proficient communication skills in English (B2 level or higher)
Knowledge of Cloudera Data Platform
Understanding of Data Lakehouse architectures
Background in Gen AI Application Development
Skills in Oracle RDBMS