Solutions Architect

• 12+ years of experience in Data Engineering, Data Architecture, and Cloud Solutions with strong expertise in Google Cloud Platform (GCP).
• Expert-level hands-on experience with GCP data services including BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI.
• Advanced proficiency in dbt, Python, and SQL for designing, building, and optimizing cloud-native data platforms and transformations.
• Strong expertise in ETL/ELT architecture, data pipeline development, data modelling, and data warehousing solutions.
• Proven experience delivering end-to-end enterprise data products, from architecture and design through implementation, deployment, and production support.
• Deep understanding of enterprise Data Architecture, including Data Mesh, Data Lakehouse, metadata, lineage, governance, and security frameworks.
• Extensive experience with Master Data Management (MDM) strategy, solution selection, integration, implementation, and enterprise data governance.
• Experience leveraging AI-enabled and GenAI-driven approaches for data engineering, development acceleration, automation, and intelligent analytics.
• Strong capability in data testing, validation, reconciliation, quality assurance, and production readiness assessments.
• Expertise in DevOps, CI/CD, Infrastructure as Code (Terraform), deployment automation, production go-live, and operational support.
• Experience leading cloud modernization, migration, and large-scale digital transformation initiatives.
• Demonstrated ability to provide senior technical leadership, mentor engineers, and lead multidisciplinary feature teams comprising architects, engineers, analysts, and product stakeholders.
• Excellent stakeholder management, communication, and consulting skills with the ability to translate business requirements into scalable cloud solutions.

Ideal Candidate Profile: A senior cloud and data architecture leader who combines expert GCP technical capability, enterprise data architecture expertise, MDM knowledge, AI-driven innovation, and strong leadership skills to deliver enterprise-scale data transformation programs.