Architect Jobs

About The Position

Requirements

• Strong experience in Data Warehousing (Star/Snowflake, Medallion, Data Vault)
• Hands-on expertise in GCP, including: BigQuery, Pub/Sub, Cloud Storage, Composer (Airflow), Dataflow/Dataproc.
• Proficiency in SQL and Python
• Experience with ETL/ELT, data modeling, and performance optimization
• Knowledge of batch & streaming architectures and API integrations
• Proven experience designing enterprise-scale data platforms
• Strong understanding of cloud architecture, distributed systems, and data security (IAM, governance)
• Experience with modern data architecture patterns, including data mesh and domain-driven architecture
• Understanding of AI/ML use cases in data platforms
• Familiarity with GCP AI tools (e.g., Vertex AI) and ML-ready data pipelines

Nice To Haves

• GCP Certifications (Professional Data Engineer / Cloud Architect)
• Experience with multi-cloud or hybrid environments
• Exposure to BI tools (Tableau, ThoughtSpot, Power BI)
• Knowledge of CI/CD and DevOps practices

Responsibilities

• Own and lead end-to-end solution architecture for data and analytics platforms
• Design scalable, high-performance data solutions using GCP services
• Define data architecture standards, best practices, and governance frameworks
• Build and optimize ETL/ELT pipelines for batch and real-time processing
• Collaborate with business stakeholders to translate requirements into technical solutions
• Drive cloud transformation and modernization initiatives
• Ensure data quality, security, compliance, and cost optimization
• Incorporate AI/ML capabilities to enable predictive and intelligent analytics
• Apply data mesh and domain-driven design principles to enable decentralized, scalable data ownership
• Provide technical leadership and mentorship to engineering teams

Benefits

• competitive total pay programs
• comprehensive benefits
• resources to help empower a culture where every employee can reach their full potential