> Markdown version of [/jobs/ext/503943-azure-data-architect-with-strong-data-modeling-experience](https://www.wearedevelopers.com/jobs/ext/503943-azure-data-architect-with-strong-data-modeling-experience). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Azure Data Architect with strong Data Modeling Experience

- **Company:** ApTask
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Big Data, Cloud Database, Data Architecture, Information Engineering, Data Governance, Data Systems, Distributed Computing Environment, Industry Standard Architecture, Meta-Data Management, SQL Azure, Operational Databases, Performance Tuning, Cloud Services, Azure Data Lake, Azure Data Factory, Apache Spark, Pyspark, Data Lineage, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** June 10, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=4ujdnwqsdebu7m13em5f0pt5dw80o500d7dv9cbq5ebzngb7yk0n43mjtefnbx0d&compid=0/jobs/28590760#/jobs/28590760

## About the Role

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., * 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.

## Description

* 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.


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud)
- [Hacking MSSQL on Cloud. All of them. How I became sysadmin on Azure, AWS, GCP and Alibaba.](https://www.wearedevelopers.com/videos/100339-hacking-mssql-on-cloud-all-of-them-how-i-became-sysadmin-on-azure-aws-gcp-and-alibaba)
- [Azure-Well Architected Framework - designing mission critical workloads in practice](https://www.wearedevelopers.com/videos/1529-azure-well-architected-framework-designing-mission-critical-workloads-in-practice)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)

## Related Articles

- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)