Job Description

Who We Are

We are looking for an experienced Data & AI Solutions Architect with strong expertise in Google Cloud Platform (GCP) to design, build, and govern modern data platforms. The role requires a strategic thinker with deep hands-on experience in data engineering, cloud architecture, governance, and AI/ML solutions, capable of translating business needs into scalable, secure, and efficient technical solutions.

Location: Bucharest

What You’ll Be Doing

• Design end-to-end data and analytics architectures on GCP, ensuring scalability, performance, and cost efficiency
• Define solution blueprints, architectural patterns, and best practices for data platforms and AI-driven solutions
• Create and maintain architecture documentation, including diagrams, technical specifications, and design decisions
• Collaborate with stakeholders to translate business requirements into technical solutions and roadmaps
• Architect and oversee the implementation of data pipelines and workflows using: Cloud Composer (Airflow), Dataflow (Apache Beam), Dataform, BigQuery
• Design robust ETL/ELT pipelines, batch and stream processing solutions
• Optimize data storage, processing models, and query performance in BigQuery
• Ensure high data quality, reliability, and availability across pipelines
• Design and integrate AI/ML solutions using: Vertex AI, General machine learning frameworks and tools
• Enable use cases such as predictive analytics, automation, and intelligent decision-making
• Collaborate with data scientists to operationalize models into production environments (MLOps)
• Define and implement data governance frameworks, including data quality, lineage, and cataloging
• Ensure adherence to security best practices, including: IAM roles and access control, Encryption and data protection, Secure data sharing, Ensure compliance with organizational and regulatory requirements (e.g., GDPR)
• Provide technical leadership and guidance to engineering teams
• Review solution designs and ensure alignment with architectural standards
• Engage with stakeholders across business, product, and engineering team
• Support pre-sales or proposal activities when needed

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, or related field
• Minimum 8 years in data engineering / architecture, with several years specifically on GCP in banking or financial services
• Strong hands-on experience with GCP services, especially: Composer, Dataflow, Dataform, BigQuery
• Solid understanding of: Data modeling (dimensional, data vault, etc.), Streaming and batch architectures
• Experience designing scalable cloud-native architectures
• Practical experience with Vertex AI or similar platforms
• Understanding of ML lifecycle and MLOps practices
• Experience implementing data governance frameworks
• Strong knowledge of cloud security principles and IAM
• Ability to produce clear technical documentation and architecture diagrams
• Familiarity with tools such as Draw.io, Lucidchart, or similar
• Excellent communication and stakeholder management skills
• Strong analytical and problem-solving abilities
• Ability to work independently and lead technical initiatives
• Strategic mindset with attention to detail

Nice to Have:

• Certifications in Google Cloud (Professional Data Engineer / Architect)
• Experience with multi-cloud or hybrid architectures
• Knowledge of DevOps / CI-CD pipelines
• Experience in regulated industries (e.g., finance, automotive, healthcare)