Data Architect – Google Cloud Platform (GCP)
Core
Designing and implementing enterprise-scale data platforms and architectures on Google Cloud Platform (GCP) to support strategic data transformation initiatives.
Role type
Senior Data Architect (GCP)
Builds
Enterprise-grade data ecosystems including data lakes, data warehouses, lakehouse architectures, and real-time processing solutions.
Domain
Cloud Data Engineering / Enterprise Architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data architecture design, Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Composer, Vertex AI), Data lakes/warehouses/lakehouse patterns, Team leadership, ETL/ELT frameworks, Data orchestration, Data integration patterns
Preferred skills
dbt, Airflow, Spark, Kafka, Terraform, Databricks, CI/CD, Infrastructure as Code, DataOps, Analytics/visualization platforms (Looker, Power BI, Tableau), Google Cloud certifications
Technologies
Google Cloud Platform, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Composer, Vertex AI, dbt, Airflow, Spark, Kafka, Terraform, Databricks, Looker, Power BI, Tableau
Responsibilities
Design and define enterprise-scale data architectures on GCP; Translate business requirements into scalable data platform strategies and roadmaps; Design modern data ecosystems including data lakes, warehouses, and real-time solutions; Lead and mentor data engineering teams during implementation; Ensure adherence to security, compliance, governance, and data quality standards; Collaborate with stakeholders to align architecture decisions with business objectives
Seniority
Senior, hands-on IC with leadership responsibilities
