Teams at Dentsu Creative

Designs and develops scalable cloud data platforms and ETL/ELT pipelines using Python and SQL. Optimizes performance and costs, implements governance, security, quality, and compliance controls, and supports analytics consumption. Collaborates with architects and stakeholders, contributes to pre-sales prototypes and demos, mentors junior developers, conducts code reviews, and recommends improvements across AWS, Azure, and GCP environments.

Designs and implements multi-cloud data architecture solutions across AWS, Azure, and GCP. Responsibilities include data modeling, ETL/ELT pipelines, data warehousing, analytics platforms, governance, security, compliance, cost modeling, architecture proposals, and client presentations. The architect must remain hands-on with Python, SaaS data tools, MDM platforms, and agentic AI; support pre-sales and RFP responses; mentor junior architects; and integrate AI/ML into data architectures.

Owns end-to-end technical solution architecture and delivery for cloud-based data projects. Designs Azure data warehouses, data marts, databases, ETL pipelines, and technical solutions; translates requirements into SQL and ETL code; guides development, testing, governance, documentation, and deployment. Leads small project teams, coaches implementation staff, performs proofs of concept, collaborates with clients and cross-functional teams, and provides post-delivery support and technical advice.