Cloud Data Architect for AI-Ready, Secure Data Platforms

Core Specialty Insurance Holdings, Inc.; Cincinnati (OH); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability (short/long-term)

401(k) company-match

Employee Assistance Plan

HSA/FSA/HRA

Wellness program

Job summary

Core Specialty Insurance Holdings, Inc. is seeking an Enterprise Data Architect to define and govern the target-state data architecture across operational, analytical, AI/ML, and reporting platforms.

You will partner with business, engineering, security, and governance stakeholders to establish scalable data patterns, trusted data products, and AI-ready data foundations to support underwriting, claims, finance, risk, and regulatory reporting.

Qualifications

• Bachelor’s degree or equivalent work experience
• 15+ years of progressive experience in enterprise data architecture, data engineering, analytics, or related technology leadership roles.
• 5+ years designing or governing cloud-based data platforms and enterprise-scale analytics solutions.
• Hands-on engineering credibility with SQL, Python or PySpark, data modeling, pipeline design, APIs/integration patterns, Git-based delivery, automated testing, and production support practices.
• Experience with BI/semantic modeling, data quality management, master/reference data management, data cataloging, lineage, and metadata-driven governance.
• Experience defining MLOps patterns for model registration, experiment tracking, model validation, deployment, monitoring, drift detection, retraining workflows, human-in-the-loop controls, and production support.
• Proven ability to define reference architectures, standards, data patterns, technical guardrails, solution blueprints, and architecture decision records for engineering teams.
• Experience partnering with security, risk, compliance, audit, legal, and privacy stakeholders to design governed data and AI solutions in regulated environments; insurance or financial services experience preferred.
• Strong communication skills with the ability to convert complex technical concepts into executive-ready recommendations, roadmaps, trade-off analyses, and delivery guidance.
• Preferred certifications: Azure Solutions Architect Expert, Azure Data Engineer Associate, Microsoft Fabric Analytics Engineer, DP-900/AI-900, SnowPro, or equivalent cloud/data/AI certifications.

Responsibilities

• Define the enterprise data architecture strategy, reference patterns, roadmap, and standards across data ingestion, transformation, storage, consumption, AI/ML, and operational reporting capabilities.
• Establish target-state architectures for data platforms including Lakehouse, data warehouse, semantic layer, data mesh/domain-aligned data products, master/reference data, metadata, lineage, cataloging, and data quality management.
• Partner with business and technology leaders to translate underwriting, claims, finance, actuarial, risk, and regulatory needs into governed data capabilities and reusable engineering patterns.
• Design and govern AI-ready data foundations including governed feature stores, vector/embedding patterns, model training and inference data pipelines, retrieval-augmented generation grounding, and responsible AI controls.
• Lead architecture reviews for data and analytics initiatives, ensuring alignment to security, privacy, regulatory, data classification, retention, least privilege, segregation of duties, and audit readiness requirements.
• Define DataOps, MLOps, and engineering requirements for CI/CD, automated testing, data quality gates, policy-as-code, infrastructure-as-code, environment promotion, rollback, monitoring, and release controls.
• Create architecture blueprints, solution decision records, integration patterns, data flow diagrams, domain models, canonical data contracts, and reusable implementation playbooks for engineering teams.
• Guide modernization of legacy data assets and reporting solutions into cloud-native, secure, scalable, and cost-optimized platforms aligned to Azure-first enterprise direction with limited AWS workloads where appropriate.
• Support vendor/platform evaluations using build vs. buy vs. extend analysis, ensuring selections align to enterprise architecture, integration, security, compliance, extensibility, and total cost of ownership.
• Partner with cybersecurity and platform teams to implement Zero Trust data access, network segmentation, encryption, key management, privileged access controls, and secure data sharing patterns.
• Drive operational excellence by defining observability standards for pipelines, data products, models, SLAs/SLOs, lineage, incident response, DR/BCP, capacity, cost management, and service health reporting.

Skills

Data architecture

Cloud data platforms

Data governance

Data modeling

AI/ML data foundations

CI/CD / DevOps

Education

Bachelor’s degree or equivalent work experience

Tools

Azure

Databricks

Snowflake

Power BI

Purview

Job description

Core Specialty Insurance Holdings, Inc. is seeking an Enterprise Data Architect to define and govern the target-state data architecture across operational, analytical, AI/ML, and reporting platforms.

You will partner with business, engineering, security, and governance stakeholders to establish scalable data patterns, trusted data products, and AI-ready data foundations to support underwriting, claims, finance, risk, and regulatory reporting.