GCP Data Architect

• Lead the architecture, design, and governance of large-scale, resilient data platforms and solutions.
• Architect and oversee complexETL/ELT pipelinesand high-volume data processing frameworks.
• Drive advanced data modeling, transformation logic, and scalable workflows usingPySparkandDatabricks.
• Establish and enforce enterprise-widedata governance, security standards, and metadata practices usingUnity Catalog.
• Optimize data architecture for performance, scalability, reliability, and cost-efficiency across GCP environments.
• Partner with engineering, BI, analytics, and business teams to shape long-term data strategies and platform roadmaps.
• Provide technical leadership, mentorship, and best practices to data engineers and cross-functional teams.
• Troubleshoot and resolve architecture-level issues across pipelines, integration layers, and cloud infrastructure.
• Evaluate and recommend new tools, frameworks, and architectural patterns that align with business goals.

Required Skills

• 10+ yearsof experience in data engineering, data architecture, or cloud data platform roles.
• Deep hands-on expertise withPySpark,Databricks, and cloud-native data architectures onGCP.
• Strong understanding of data modeling, data lake/lakehouse architectures, ETL/ELT design, and distributed processing.
• Proven experience implementingdata governance,security, andperformance optimizationat scale.
• Ability to design and manage high-availability, high-throughput data systems.
• Excellent stakeholder management, communication skills, and strategic thinking.