GCP Architect

Quantum World Technologies Inc.; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Quantum World Technologies Inc. in New York, NY, seeks an experienced BigQuery Architect with 12+ years to lead design and implementation of enterprise data platforms on Google Cloud Platform.

The role emphasizes BigQuery, data warehousing, real-time analytics, and data governance to drive cloud modernization. You will define data strategies, build scalable architectures for structured and unstructured data, optimize cost and performance, and provide technical leadership across data engineering

Qualifications

• 12+ years of experience in data architecture and engineering.
• Expert in designing enterprise-grade data platforms on GCP.
• Strong governance, security, and compliance expertise.
• Experience leading cross-functional data teams.

Responsibilities

• Design and implement enterprise-scale data warehouse and lakehouse solutions using BigQuery.
• Define canonical data models, dimensional models, and enterprise information architectures.
• Lead data modernization and cloud migration from on-premises platforms to GCP.
• Provide technical leadership and governance across data engineering and analytics teams.

Skills

BigQuery

Data Warehousing

Data Engineering

Real-time Analytics

Data Governance

Cloud Modernization

GCP

Tools

Dataflow

Pub/Sub

Cloud Composer

Data Fusion

Job description

Location: NY/NJ(Preference is local candidate as candidate need to be in office 2days a week but for right candidate Remote is a possibility)

We are seeking an experienced BigQuery Architect with 12+ years exp to lead the design, architecture, and implementation of enterprise-scale dataplatforms on Google Cloud Platform (GCP). The ideal candidate will have deep expertise in BigQuery, data warehousing, data engineering, real-time analytics, data governance, and cloud modernization initiatives.

The architect will be responsible for defining enterprise data strategies, designing scalable data solutions, optimizing performance andcosts, and providing technical leadership across data engineering and analytics teams.

Key Responsibilities

• Design and implement enterprise-scale data warehouse and Lakehouse solutions using BigQuery.
• Create scalable, secure, and high-performance data architectures for structured and unstructured data.
• Define canonical data models, dimensional models, and enterprise information architectures.
• Lead cloud data modernization and migration initiatives from on-premises platforms to GCP.

BigQuery Engineering

• Architect large-scale data ingestion, transformation, and reporting solutions.
• Design partitioning, clustering, materialized views, and query optimization strategies.
• Implement BigQuery performance tuning and cost optimization best practices.
• Establish enterprise standards for data storage, querying, and lifecycle management.

Data Integration & ETL

• Design batch and real-time data pipelines using:
  • Dataflow
  • Pub/Sub
  • Cloud Composer (Airflow)
  • Data Fusion

Data Governance & Security

• Define enterprise data governance frameworks.
• Implement IAM, row-level security, column-level security, and data masking.
• Ensure compliance with GDPR, HIPAA, CCPA, and industry-specific regulations.
• Establish data quality, lineage, metadata, and audit controls.

Leadership & Stakeholder Management

• Lead architecture reviews and technical governance boards.
• Mentor data engineers, architects, and technical leads.
• Collaborate with business, product, analytics, and infrastructure teams.
• Drive solution proposals, technical estimations, and pre-sales activities.

Preferred Experience

• Migration from Oracle, Teradata, SQL Server, Snowflake, Redshift, Netezza, Hadoop, or Azure platforms to BigQuery.
• AI/ML integration with BigQuery ML and Vertex AI.
• Data Mesh and Data Product implementation experience.