Data Architect (GCP)

TL;DR

Data Architect (GCP/Snowflake): Leading data architecture and engineering initiatives within GCP and Snowflake environments with an accent on designing scalable data platforms and governing data strategy. Focus on defining future-state roadmaps, designing complex ETL/ELT strategies, and ensuring system security and performance across business domains.

Location: Must be based in the United States (On-site work required)

Salary: 31,920 – 37,800 PLN (B2B)

Company

hirify.global is a leading AI consulting and data engineering company recognized for building scalable, ROI-focused AI solutions for global enterprises.

What you will do

• Lead data architecture projects including migration, transformation, and platform design.
• Design end-to-end data architectures covering ingestion, storage, processing, and serving.
• Develop logical and physical data models, schemas, and structures.
• Define and enforce data governance, security, and access control frameworks.
• Lead client workshops to identify data sources, flows, and requirements.
• Collaborate with cross-functional teams to deliver secure, scalable, and cost-efficient data solutions.

Requirements

• Must be based in the United States.
• 7+ years of experience in Data Engineering or Data Architecture roles.
• 3+ years of experience working with GCP or similar cloud platforms.
• Proven hands-on experience with Snowflake, data modeling, and performance optimization.
• Strong expertise in GCP services such as BigQuery, Cloud SQL, and Cloud Spanner.
• Proficiency in SQL and Python, with experience in ETL/ELT design.
• Experience in a client-facing or consulting environment.

Nice to have

• Experience with data platform migrations to cloud environments.
• Knowledge of Kimball, Data Vault, or other modeling methodologies.
• Familiarity with data governance programs and FinOps practices.
• Experience with multi-cloud or hybrid architectures.

Culture & Benefits

• Flexible work arrangements allowing for a mix of remote work and office presence.
• Access to career paths, language classes, and sponsored conferences.
• Partnership with Databricks for professional certifications and training.
• Comprehensive medical and sports packages, including well-being support.
• B2B cooperation model with 20 paid days off.
• Full work equipment provided including a laptop and necessary devices.