Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply
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Azure Data Architect With Strong Data Modeling Experience
$65 - $70 / hour
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Overview
Job 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.
- 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.
- 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.
- 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.
businessexcellence@aptask.com
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businessexcellence@aptask.com
.Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
