Lead end to end architecture design for cloud data platforms on Google Cloud Platform.
Define reference architectures, patterns, and best practices for data ingestion, processing, storage, and analytics.
Architect and guide implementation of batch and streaming pipelines using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer.
Enable modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases.
Ensure alignment with data governance, quality, lineage, and security standards.
Design infrastructure as code using Terraform or equivalent tools.
Collaborate with platform teams on CI/CD, DataOps, and monitoring strategies.
Apply GCP security best practices, including IAM, networking, encryption, and compliance controls.
Partner with business and technology stakeholders to translate business requirements into technical architectures.
Act as a technical advisor on cloud data modernization and GCP best practices.
Support solution design activities including technical estimates and architecture reviews.

10+ years of overall IT experience with 5+ years in cloud data architecture
Proven experience designing and delivering GCP based data platforms
Background with large enterprise data programs across industries
Deep expertise in Google Cloud Platform, including, BigQuery, Cloud Storage,Dataflow (Apache Beam),Pub/Sub, Dataproc (Spark) and Composer (Airflow)
Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL
Experience with CI/CD, Terraform, and DataOps practices
Exposure to AI/ML enablement on GCP (Vertex AI is a plus)
Google Professional Data Engineer
Google Professional Cloud Architect
Strong communication and stakeholder management abilities
Ability to explain complex technical concepts to technical and non technical audiences
Experience working in global, distributed teams
Passion for innovation, engineering excellence

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Data Architect

Key skills