Data Architect

We are looking for an experienced and forward-thinking Data Architect to join a team building modern, scalable data platforms. This is a key role for someone who wants to have a real impact on how data is structured, governed, and used across the organization. We are looking for a senior-level Data Architect who will take ownership of shaping and evolving a modern data ecosystem at scale. This role goes beyond designing solutions—you will define architectural direction, influence technology choices, and drive how data is leveraged across the organization. You will operate at a strategic level while staying close to implementation, partnering with engineering and business stakeholders to build high-quality, future-proof data platforms. This is a role for someone who combines deep technical expertise with strong architectural thinking and a sense of ownership over long-term outcomes. Requirements: • Strong experience in data architecture, data modeling, and system design • Advanced SQL and solid Python skills • Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, DMS) • Experience designing scalable data platforms (batch + real-time) • Strong understanding of data warehousing (e.g., Snowflake) • Experience with streaming technologies (e.g., Kafka or similar) • Knowledge of Infrastructure as Code (e.g., Terraform) • Understanding of CI/CD and modern DevOps practices • Experience with ETL/ELT, CDC, and data integration patterns • Strong grasp of data governance, security, and access control • Experience with large-scale data modeling and multi-source environments • 10+ years in data engineering / data architecture roles. Nice to have: • Experience with GraphQL APIs • Exposure to complex, distributed data ecosystems • Experience working in global or large-scale environments