Azure Data Architect with strong Data Modeling Experience (Remote)
Posted Today by Cleo Consulting Inc.
Negotiable
Undetermined
Remote
Remote
Summary: The Azure Data Architect role focuses on designing and implementing enterprise-grade data architectures using Azure-native services, specifically for the insurance sector. The position requires extensive experience in data modeling and architecture, with a strong emphasis on building scalable cloud data platforms. Candidates should possess a deep understanding of insurance business requirements and be able to translate these into secure and cost-optimized data solutions. A background in P&C insurance is essential for this role.
Key Responsibilities:
- Design and implement end-to-end data architectures using Azure-native services.
- Act as both Azure Data Architect and Data Modeler: develop insurance-specific logical and physical data models aligned to business KPIs, underwriting, claims, policy administration, and reporting needs.
- Architect scalable data platforms that support ingestion, transformation, orchestration, and analytics workloads.
- Define and optimize data pipelines for performance, scalability, reliability, and cost efficiency.
- Establish and enforce data governance, metadata management, security controls, and architectural standards and best practices.
- Apply distributed data processing principles to large-scale data environments and ensure model performance at scale.
- Collaborate with business stakeholders, domain SMEs, data engineers, analytics, and BI teams to translate insurance requirements into maintainable, scalable solutions.
- Provide technical leadership and mentoring for data modelling, data engineering, and analytics initiatives.
Key Skills:
- Demonstrated hands-on experience with Azure Data Lake Storage (ADLS).
- Azure Data Factory (ADF).
- Azure Synapse Analytics.
- Azure SQL.
- Proven experience designing and implementing enterprise-scale data pipelines (ingestion, transformation, orchestration).
- Strong experience creating insurance-specific data models (policy, claims, billing, rating), with P&C domain experience preferred.
- Solid track record implementing data governance frameworks, data lineage, and architectural best practices.
- Deep understanding of distributed data processing concepts and performance optimization.
- Excellent collaboration and communication skills; comfortable working with both technical teams and insurance business stakeholders.
- Experience translating regulatory and actuarial reporting requirements into data model and pipeline designs.
Salary (Rate): £60
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Job Title: Azure Data Architect with strong Data Modeling Experience
Location: Canada/USA - Remote
Exp. Start date: 15th June
Duration: 6 months
Year of Experience: 12 – 15 Years
Description
- We are seeking an experienced Azure Data Architect / Data Modeler with a strong Insurance background to design and implement enterprise-grade, end-to-end data architectures using Azure-native services. This role focuses on building scalable, high-performance cloud data platforms, defining robust architectural standards, and translating insurance business requirements into reliable, secure, and cost-optimized data solutions. P&C insurance experience is required.
Key Responsibilities
- Design and implement end-to-end data architectures using Azure-native services.
- Act as both Azure Data Architect and Data Modeler: develop insurance-specific logical and physical data models aligned to business KPIs, underwriting, claims, policy administration, and reporting needs.
- Architect scalable data platforms that support ingestion, transformation, orchestration, and analytics workloads.
- Define and optimize data pipelines for performance, scalability, reliability, and cost efficiency.
- Establish and enforce data governance, metadata management, security controls, and architectural standards and best practices.
- Apply distributed data processing principles to large-scale data environments and ensure model performance at scale.
- Collaborate with business stakeholders, domain SMEs, data engineers, analytics, and BI teams to translate insurance requirements into maintainable, scalable solutions.
- Provide technical leadership and mentoring for data modelling, data engineering, and analytics initiatives.
Required Skills & Qualifications
- Demonstrated hands-on experience with:
- Azure Data Lake Storage (ADLS)
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure SQL
- Proven experience designing and implementing enterprise-scale data pipelines (ingestion, transformation, orchestration).
- Strong experience creating insurance-specific data models (policy, claims, billing, rating), with P&C domain experience preferred.
- Solid track record implementing data governance frameworks, data lineage, and architectural best practices.
- Deep understanding of distributed data processing concepts and performance optimization.
- Excellent collaboration and communication skills; comfortable working with both technical teams and insurance business stakeholders.
- Experience translating regulatory and actuarial reporting requirements into data model and pipeline designs.
Preferred Skills
- Hands-on experience with Azure Databricks and PySpark for large-scale data processing.
- Experience defining standards for Databricks workloads, Spark-based pipelines, and data science model integration with production data platforms.
- Prior experience delivering cloud-based data and analytics initiatives for Insurance (P&C preferred).
- Familiarity with insurance source systems (policy administration, claims management, rating engines) and common data feeds.
- Strong analytical and problem-solving skills, with experience in cost optimization for cloud data platforms.
“Cleo Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled)”