Data Solutions Architect

We are seeking a seasoned GCP Data Warehouse Architect to lead the design, development, and governance of scalable, secure, and high-performance data architectures on Google Cloud Platform (GCP). The ideal candidate will have a proven track record in architecting enterprise-grade data warehouses and large-scale data pipelines that support real-time analytics, business intelligence, machine learning, and AI-driven decision-making across global organizations.

This role is pivotal in shaping the future of our data platform—enabling data democratization, accelerating time-to-insight, and ensuring compliance with data governance, security, and performance standards. You will work closely with data scientists, engineers, business stakeholders, and cloud architects to deliver robust, future-ready data solutions.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 8+ years of experience in data engineering, with 5+ years focused on GCP and large-scale data warehouse implementations.
• Deep expertise in Google Cloud Platform (GCP) services :
• BigQuery (including federated queries, partitioning, clustering, materialized views, BI Engine)
• Cloud Storage (buckets, lifecycle policies, IAM)
• Dataflow (Apache Beam, streaming & batch)
• Cloud Composer (Airflow workflows)
• Pub / Sub, Dataproc, Dataplex, Data Catalog, Cloud Functions, Cloud SQL, Firestore
• Proven experience in designing and managing enterprise data warehouses (e.G., 100+ TB+ data volume, 1000+ daily jobs).
• Strong understanding of data modeling, ETL / ELT patterns, data quality, and metadata management.
• Experience with infrastructure-as-code (Terraform, Pulumi) and CI / CD pipelines (Cloud Build, GitHub Actions).
• Familiarity with data governance tools (e.G., Collibra, Informatica, Alation) and data observability platforms.
• Excellent communication skills with the ability to translate technical concepts for business stakeholders.

Preferred Qualifications