Syone is looking for a Data Architect & Tooling Specialist to maintain, enhance, and oversee our data platform, ensuring its scalability, reliability, and continuous evolution.
What you would do:
* Develop and maintain the data product catalog, lineage, and metadata standards.
* Design, implement, and continuously improve a centralized metadata repository.
* Define and enforce semantic models, including business vocabularies, canonical entities, and logical data contracts.
* Maintain automatically updated lineage graphs and align efforts with bank-wide initiatives.
* Provide transparent dashboards for lineage, access logs, and data quality, supporting business users, auditors, and regulators.
* Lead quarterly data governance reviews, focusing on data ownership and access.
* Implement self-service data product templates with embedded semantic metadata.
* Introduce observability for data pipelines and lineage updates.
* Collaborate with domain owners to capture business definitions and map them to technical entities.
* Conduct metadata best practice sessions and mentor engineers on semantic annotations.
What you need to bring:
* Observability & Monitoring: Hands-on experience with Prometheus, Grafana, OpenTelemetry, or equivalent tools for pipeline monitoring.
* Tooling & Automation: Expertise in CI/CD workflows, dbt (or similar), and orchestration tools like Airflow, Dagster, or Prefect.
* Metadata Management: Proven ability to build and maintain data catalogs and lineage systems using tools such as DataHub, Amundsen, Collibra, or Alation.
* Semantic Modeling: Skilled in designing business vocabularies, canonical data models, and data contracts. Experience with Data Mesh or other domain-oriented data products is a plus; knowledge of formal verification is highly valued.
* AI-Assisted Data Quality: Practical experience with ML-based data profiling tools (e.g., Great Expectations + ML, Monte Carlo, Datafold, Bigeye) or the ability to develop custom Python models for anomaly detection.
Languages & Technical Skills:
* English: Expert
* Python: Expert
* SQL: Expert
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