• Design and implement a scalable, GCP-native data strategy aligned with machine learning and analytics initiatives. • Build, operate, and evolve reusable data products that deliver compounding business value. • Architect and govern squad-owned data storage strategies using BigQuery, AlloyDB, ODS, and transactional systems. • Develop high-performance data transformations and analytical workflows using Python and SQL. • Lead ingestion and streaming strategies using Pub/Sub, Datastream (CDC), and Cloud Dataflow (Apache Beam). • Orchestrate data workflows using Cloud Composer (Airflow) and manage transformations with Dataform. • Modernize legacy data assets and decouple procedural logic from operational databases into analytical platforms. • Apply Dataplex capabilities to enforce data governance, quality, lineage, and discoverability. • Collaborate closely with engineering, product, and data science teams in an iterative, squad-based environment. • Drive technical decision-making, resolve ambiguity, and influence data architecture direction. • Ensure data solutions are secure, scalable, observable, and aligned with best practices.