GCP Data Architect

We are proud winners of the Best Place to Work awards in 2025 and 2026. Aviato Consulting, founded by ex-Googlers, specializes in Google Cloud solutions. We combine deep technical expertise with the open, fun engineering culture of Google minus the bureaucracy.

We are hiring for Data Architect who will bridge deep hands‑on data engineering with high‑level platform architecture, optimizing modern Lakehouse infrastructure and cloud data pipelines.

• Build the "Next" Tech:
  Work at the intersection of enterprise big data and cloud innovation, leveraging Google Cloud data services to build robust, AI-ready data foundations.
• Elite Engineering Culture:
  Work alongside ex-Googlers and cloud experts who prioritize clean code, high-velocity shipping, and technical excellence over politics.
• Pure GCP Playground:
  Gain deep access to Google Cloud's modern data and AI ecosystem (Big Query, Dataflow, Dataproc, Cloud Composer, Vertex AI) to design scalable, lakehouse architectures.
• Verified Happiness:
  Join a team objectively recognized as a "Best Place to Work" two years running.
• ESOP:
  Share in our success with our employee option plan.

• Lakehouse & Platform Architecture:
  Lead the end-to-end design and realization of highly scalable enterprise data platforms and Lakehouse architectures (Apache Iceberg) across multi-domain ecosystems on Google Cloud Platform (GCP).
• Data Engineering & Batch/Streaming Pipelines:
  Architect resilient, meta-data-driven ETL/ELT data pipelines using Apache Spark / PySpark, Advanced SQL, Dataflow (Apache Beam), Dataproc, and Pub/Sub to support real-time and batch analytics.
• Orchestration & Automation:
  Establish reusable Apache Airflow frameworks on Cloud Composer to streamline workflow automation, CI/CD, and pipeline onboarding across production workloads.
• AI & Security Integration:
  Architect secure LLM-powered platforms and AI-assisted workflows incorporating prompt-injection safeguards, secret detection, zero-egress controls, and ML-based anomaly detection for operational reliability.
• Governance & Fin Ops Optimization:
  Drive data lifecycle management, IAM, GDPR/HIPAA compliance, and Fin Ops initiatives across Big Query and Dataproc clusters to optimize compute performance and minimize costs.

• GCP Data Architecture Expertise: 8+ years of hands‑on data engineering and cloud architectural experience designing and managing enterprise-scale Google Cloud data platforms.
• Core Technical Stack:
  Advanced proficiency in Python, SQL, Java, PySpark/Spark SQL, Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Composer, GKE, and Apache Iceberg.
• Certification Requirement: A Google Cloud Professional Cloud Architect certification.
• Governance & Optimization Mastery:
  Demonstrated track record in implementing Fin Ops cost optimizations, data governance frameworks, and data quality/anomaly detection pipelines.

• Hands-on experience with LLM orchestration, prompt engineering, and GenAI security controls.
• Experience migrating large-scale (50TB+) enterprise datasets and legacy analytical workloads (SQL Server, SAS) to GCP Big Query.

We operate with radical transparency, believe in rigorous teamwork, prioritize continuous excellence and growth, and deliver exceptional value as dedicated client partners.