Data Architect

TL;DR

Data Architect (Cloud Data Platforms): Defining and evolving the target enterprise data platform architecture on modern cloud and data technologies with an accent on governance, scalability, and security alignment. Focus on designing data models and data products, leading architecture reviews and standards, and enabling AI/GenAI readiness while mentoring engineers and optimizing platform performance and cost.

Location: Work from the European Union region with a valid work permit required.

Company

hirify.global is a global AI-first digital transformation and engineering partner.

What you will do

• Define and evolve enterprise data platform architecture built on modern cloud and data technologies.
• Drive architectural decisions and ensure alignment with business goals, security, governance, and scalability requirements.
• Lead architecture reviews and establish engineering standards, integration patterns, and best practices.
• Design data models, data products, and governance frameworks for trusted, high-quality data.
• Collaborate with business and technical stakeholders to translate requirements into scalable data solutions.
• Shape the platform for future AI-driven capabilities and support performance optimization, cost efficiency, and operational excellence.

Requirements

• Strong experience designing and governing enterprise-scale data platforms.
• Hands-on architecture experience with GCP.
• Deep expertise in BigQuery and modern cloud data warehousing.
• Practical knowledge of dbt and modern data transformation practices.
• Experience with data governance, data quality, and ownership frameworks, including security, compliance, scalability, and reliability considerations.
• Fluent English (at least B2) and ability to work from the EU region with a valid work permit.

Nice to have

• Experience with large-scale cloud data migrations and modernization programs.
• Experience implementing Data Mesh or domain-oriented data architectures.
• Knowledge of BI/reporting frameworks and KPI governance.
• Familiarity with MLOps, AI platforms, or enterprise GenAI solutions.
• Experience in highly regulated or global enterprise environments and/or consulting/advisory roles.

Culture & Benefits

• People-first culture with a strong engineering excellence focus.
• Work with modern technologies across cloud and data platforms (AWS, Azure, GCP, Databricks, Snowflake).
• Mentoring and knowledge sharing through design sessions and technical guidance.
• Consulting mindset with continuous growth and knowledge sharing.

Hiring process

• CV review and HR call.
• Interview and client interview.
• Decision.