Visionary Data Leader

24 hours ago

Perth, Western Australia beBeeData Full time $180,000 - $250,000
Senior Data Architect

We are seeking an experienced Senior Data Architect to lead the design and implementation of our data architecture strategy.

About the Role

This is a senior-level position that requires a strong technical background and excellent problem-solving skills. You will work closely with cross-functional teams to drive the alignment of data architecture requirements with strategic goals.

  • Define the overall greenfield data architecture using GCP - BigQuery.
  • Establish best practices for ingestion, transformation, data quality, and governance.
  • Lead the design and implementation of ETL/ELT pipelines: Ingestion: Datastream, Pub/Sub, Dataflow, Airbyte, Fivetran, Rivery; Storage & Compute: BigQuery, GCSTransformations: dbt, Cloud Composer (Airflow), Dagster.
  • Ensure data quality and reliability with dbt tests, Great Expectations/Soda, and monitoring.
  • Implement Dataplex & Data Catalog for metadata, lineage, and discoverability.
  • Define IAM policies, row/column-level security, DLP strategies, and compliance controls.
  • Define and enforce SLAs, SLOs, and SLIs for pipelines and data products.
  • Implement observability tooling: Cloud Monitoring, Logging, Error Reporting, Cloud Trace.
  • Build alerting and incident response playbooks for data failures and anomalies.
  • Ensure pipeline resilience (idempotency, retries, backfills, incremental loads).
  • Establish disaster recovery and high availability strategies (multi-region storage, backup/restore policies).
Requirements

This role requires:

  • 10+ years experience in data engineering, architecture, or platform roles.
  • Strong expertise in GCP data stack: BigQuery, GCS, Dataplex, Data Catalog, Pub/Sub, Dataflow.
  • Hands-on experience building ETL/ELT pipelines with dbt + orchestration (Composer/Airflow/Dagster).
  • Deep knowledge of data modeling, warehousing, partitioning/clustering strategies.
  • Experience with monitoring, reliability engineering, and observability for data systems.
  • Familiarity with data governance, lineage, and security policies (IAM, DLP, encryption).
  • Strong SQL skills and solid knowledge of Python for data engineering.
Benefits

This is a dynamic team environment where you can leverage your technical skills to make a meaningful impact. If you have a passion for data engineering, this could be the perfect opportunity for you

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