Portfolio Architect

Preferred Qualifications

• Design and own the end-to-end data architecture, utilizing Snowflake as the core data warehouse and leveraging GCP for machine learning pipelines.
• Establish standards and patterns for ingesting, storing, cataloging, and accessing structured, semi structured, and unstructured data (e.g., JSON, logs, documents, media)
• Design and review enterprise grade data pipelines to ingest data from operational systems, SaaS sources, APIs, and external feeds into GCP/Snowflake.
• Define standards for using tools such as Dataflow/Beam, Pub/Sub, Composer/Airflow, or other orchestration/ETL tools like DBT
• Design GCP based data platforms using services such as Cloud Storage, Pub/Sub, Dataflow, Composer, GKE/Cloud Run (for data services), and IAM for security.
• Define network, security, and identity patterns for data workloads
• Establish standards for data quality (DQ rules, validation checks, profiling) and metadat...