Data Architect

Role overview Design and deliver cloud data platforms that turn business needs into reliable, governed analytical systems. This role combines end-to-end architecture with hands-on implementation, customer collaboration, and technical leadership across project teams.

Responsibilities - Architect and build scalable lakehouse solutions on Google Cloud using services such as BigQuery, Cloud Storage, BigLake, and Dataplex. - Translate customer goals and data constraints into architecture plans, implementation choices, and clear recommendations. - Develop batch and real-time ingestion pipelines, including their orchestration and streaming components. - Set practices for data modeling, cataloging, metadata, lineage, quality, access control, and governance. - Lead technical delivery through design reviews, mentoring, prototypes, troubleshooting, and performance tuning. - Work with stakeholders and delivery teams to support adoption, scalability, and long-term maintainability.

Requirements - At least 6 years in software engineering or data platform development, including 5 or more years architecting platforms on Google Cloud and/or Databricks. - Hands-on experience designing and deploying lakehouse platforms, data products, and medallion architectures. - Knowledge of batch and streaming ingestion, ETL/ELT, and orchestration tools such as Airflow or Pub/Sub. - Strong data modeling skills, including storage optimization, partitioning, and performance tuning for large analytical workloads. - Experience implementing data governance, security, and cataloging with tools such as Dataplex, Data Catalog, or IAM. - Ability to lead mixed technical teams and explain trade-offs to both technical and non-technical audiences.

Nice to have - Experience with Delta Lake, Unity Catalog, or hybrid Google Cloud and Databricks architectures.

Benefits and work setup - Health insurance, paid leave and holidays, sick, parental and bereavement leave, retirement plan matching, and referral bonuses.