Data Architect

• Extensive experience in data engineering and data architecture, including substantial experience as an architect designing production-scale data platforms.
• Proven design of lakehouse or data lake architectures on AWS or Azure, including object storage, compute, and open table formats (Delta, Iceberg, Parquet).
• Data modeling for structured, semi-structured, and unstructured data, including large binary files with rich metadata.
• Strong grounding in metadata management, lineage, dataset versioning, data quality, security, and governance.
• Hands-on with batch and streaming patterns (Spark, Kafka, Airflow or equivalents) and strong Python/SQL.

• Define target-state data architecture, storage layout, zones, partitioning, and retention for high-volume sensor and metadata stores.
• Design canonical data models, schemas, data contracts, and metadata standards across ingestion, curation, annotation, and publishing.
• Establish lineage, dataset versioning, data quality rules, access controls, and governance policies.
• Evaluate and select platform components, and set reference patterns for batch, streaming, and search/retrieval of large datasets.
• Optimize cost, performance, and scalability of storage and compute, and review designs for security and compliance.

Qualifications

BACHELOR OF COMPUTER SCIENCE