AI Tech Lead / Data Architect

Quick Facts

• Remote work
• B2B (contractor)

Description

You will act as an AI Tech Lead / Lead Data Architect for building and validating a modern cloud data platform. The role focuses on designing an enterprise-scale, scalable data architecture (Data Lakehouse) with Bronze/Silver/Gold layers, ingestion and transformation processes, and data-quality standards to prepare datasets for downstream analysis. You will also assess the feasibility of migrating selected Java-based components to the cloud using Kubernetes.

Responsibilities

• Design enterprise-grade cloud data architecture
• Define Data Lakehouse architecture using Bronze/Silver/Gold layers
• Create data models at conceptual, logical, and physical levels
• Design and validate ingestion, transformation, and data integration processes
• Use BigQuery and Dataflow/Apache Beam for data processing
• Define shared data elements, enrichment mechanisms, and data-quality controls
• Design solutions covering data governance, data lineage, and security requirements
• Collaborate with technical and business teams to define target architecture
• Assess migration feasibility of selected Java components to cloud with Kubernetes
• Prepare technical recommendations and scalable architectural patterns
• Support the team in technology and architecture decision-making

Requirements

• Enterprise-grade data architecture experience
• Very strong knowledge of cloud solution architecture
• Practical knowledge of Google Cloud Platform and BigQuery
• Experience designing Data Lakehouse and Bronze/Silver/Gold patterns
• Experience with conceptual, logical, and physical data modeling
• Experience with data governance, data quality, and data lineage
• Knowledge of data integration and pipeline design
• Knowledge of cloud security, including IAM (access and permissions)
• Ability to make architectural decisions and translate business requirements into technical solutions

Benefits

• Remote work