GCP-Certified Data Architect
New York, NY-%LABEL POSITION TYPE REMOTE HYBRID%
Kaizen Analytix
Rapid Delivery, Continuous Improvement | We understand that analytics is much more than just the math. Itβs the story behind the data. We help businesses understand what happened and show how they can learn from these outcomes to predict and...Job Title: GCP-Certified Data Architect
Location: New York
Job Type: Hybrid (3 days in office)
Experience Level: Senior (5+ Years)
We are seeking a GCP-Certified Data Architect with over 5 years of experience designing and implementing enterprise-grade cloud data platforms. The ideal candidate will have hands-on expertise architecting scalable, secure, and performant solutions on Google Cloud Platform, particularly using BigQuery and other GCP-native services. Experience in regulated or large-scale environments is strongly preferred.
Key Responsibilities
- Architect and implement cloud-native data lakehouses on GCP using BigQuery and associated services
- Lead schema design and access control policy definition for data migration projects (e.g., AWS or Snowflake to GCP)
- Define and implement enterprise-wide metadata strategies using Data Catalog, ensuring robust data lineage, classification, and tagging
- Establish and enforce data security and protection protocols, including VPC Service Controls, Data Loss Prevention (DLP), and IAM
- Collaborate with business and IT stakeholders to develop master and reference data models across domains
- Drive modernization initiatives for existing data architectures and guide adoption of cloud-native best practices
- Partner with governance teams to ensure compliance with regulatory and internal data policies
Required Skills and Experience:
- GCP Professional Data Engineer or Data Architect certification
- 5+ years of experience designing and deploying cloud-based data architectures
- Deep expertise with BigQuery, Data Catalog, Cloud Storage, Pub/Sub, Dataflow, and Looker
- Proficient in data modeling (OLAP/OLTP, dimensional modeling), metadata management, and data governance frameworks
- Strong knowledge of access control, security perimeters, and compliance requirements in regulated environments
- Proven experience migrating workloads from Snowflake or AWS to Google Cloud
- Excellent communication and stakeholder engagement skills
* Salary range is an estimate based on our AI, ML, Data Science Salary Index π°
Tags: Architecture AWS BigQuery Classification Dataflow Data governance GCP Google Cloud Looker OLAP Security Snowflake
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