Data Architect - Data Fabric Management Lead
$160kInizio Partners
Data Architect - Data Fabric Management Lead
New York, New York, United States
$ 160,000.00 - 160,000.00 (US Dollar)
About the Job Data Architect - Data Fabric Management Lead
Role & Responsibilities Overview:
- Design end to end data architectures using Microsoft Fabric components (Data Factory, Lakehouse, Warehouse, Real Time Analytics, OneLake).
- Define data models, integration patterns, and storage strategies for policy, claims, billing, actuarial, and customer data.
- Develop architectural blueprints, reference architectures, and reusable frameworks aligned with enterprise standards.
- Oversee ingestion pipelines using Fabric Data Factory, supporting batch, streaming, and API based integrations.
- Implement Lakehouse based architectures for scalable analytics and machine learning workloads.
- Ensure data pipelines are optimized for performance, cost, and reliability.
- Partner with Data Governance teams to enforce data standards, lineage, metadata, and quality rules.
- Implement governance capabilities within Fabric, including data catalogs, sensitivity labels, and access controls.
- Support regulatory compliance for insurance data (e.g., NAIC, state regulations, privacy laws).
- Collaborate with cloud engineering teams to optimize Fabric deployments within the Microsoft ecosystem (Azure AD, Purview, Power BI).
- Ensure alignment with enterprise cloud strategy, security frameworks, and architectural guardrails.
- Evaluate new Fabric features and recommend adoption strategies.
- Work closely with business stakeholders to translate insurance data needs into scalable technical solutions.
- Provide architectural guidance to data engineers, analysts, and BI developers.
- Lead technical design reviews and ensure architectural consistency across projects.
- Define best practices for Fabric performance tuning, storage optimization, and cost management.
- Implement robust security models, including RBAC, data masking, and encryption.
- Monitor platform health and proactively address architectural risks.
Candidate Profile:
- 10+ years of experience in data architecture, data engineering, or analytics platform design.
- Strong hands on experience with Microsoft Fabric and related Azure services.
- Deep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing).
- Expertise in data modeling (dimensional, canonical, semantic models).
- Strong knowledge of data governance, metadata management, and data quality practices.
- Proficiency with SQL, Python, and modern data engineering frameworks.
- Excellent communication and stakeholder management skills.
- Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.
- Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse).
- Certifications such as Azure Data Engineer, Azure Solutions Architect.
- Prior experience in P&C or Life insurance data modernization programs.
Vacancy posted 1 day ago
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