What are the responsibilities and job description for the Data Architect (P&C insurance) position at APN Consulting Inc?
APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.
Job title : Data Architect (P&C insurance)
Location: Madison, WI or Chicago, IL (Remote will work)
Type: Contract
Job Description:
Requirement/Responsibilities:
We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.
Job title : Data Architect (P&C insurance)
Location: Madison, WI or Chicago, IL (Remote will work)
Type: Contract
Job Description:
- Strong experience of implementing data product architecture for P&C insurance domain
- Strong communication and stakeholder management skills.
Requirement/Responsibilities:
- Understand enterprise data architecture and Data structures aligned with Azure/Snowflake services and conceptualize data products for Insurance domains - Customer, Claims, Policy etc.
- Experience on MS Fabric, Snowflake and Azure platform; sound knowledge on Datalake, Data Warehousing concepts
- Drive domain-led data modeling (conceptual, logical, physical) for P&C insurance, with accountability for shaping and delivering scalable, KPI-aligned data products.
- Experience in mapping data elements from Insurance workflow and applications to Operational Data Stores and Data Warehousing
- Partner with business, data engineering, and platform teams to enable Insights creation for delivering more value
- Support Azure-based data platforms and data products, optimizing models for performance, cost, and future extensibility
- Hands on experience in SQL, Python with proficiency in Data pipelines, Data engineering, and Reports/Dashboards
We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.