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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.
Job Responsibility
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
Requirements
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