What are the responsibilities and job description for the Enterprise Data Architect position at Blue Ocean Ventures?
Role Summary
We are seeking a Enterprise Data Architect to lead the design and delivery of enterprise data platforms, with a strong focus on AWS, Databricks, data governance, and AI/GenAI architecture within the insurance domain.
Required Experience
- 20 years of overall technology experience.
- 8 years in data engineering, data architecture, or data platform architecture.
- Strong insurance industry experience.
- 8 years of hands-on Databricks experience.
- Expert knowledge of AWS, Delta Lake, Medallion Architecture, Python, PySpark, and SQL.
- Experience designing real-time and near-real-time data platforms using Kafka and event-driven architecture.
- Strong understanding of JSON, APIs, data modelling, data lineage, and canonical data models.
- Experience with enterprise data strategy, data mesh/fabric, metadata, cataloguing, governance, stewardship, and data quality frameworks such as Databricks DQX.
- Experience with platform rationalisation, lifecycle governance, and standards-as-code in CI/CD.
- Knowledge of AI/GenAI architecture, including vector databases, embeddings, context management, and AI gateways.
- Understanding of privacy, explainability, bias mitigation, and responsible AI.
- Ability to influence engineering, architecture, analytics, security, and business stakeholders.
- Hands-on development mindset and experience delivering large-scale Agile transformation programs.
Good to Have
- Databricks or additional cloud/data certifications.
- Experience with Power BI and GitLab.
- Experience with enterprise data catalogs, model governance, and AI Centers of Excellence.