Data Architect

Key Responsibilities:
Design, develop, and implement scalable and secure data architecture solutions using Azure Databricks and Azure Data Factory.
Lead end-to-end data architecture strategies for insurance clients, with a strong focus on Guidewire platforms (PolicyCenter, BillingCenter, and ClaimCenter).
Engage directly with clients to understand business requirements and translate them into technical data architecture solutions.
Lead and manage data transformation and modernization programs across the insurance value chain.
Provide architectural oversight and mentorship to development teams working on Azure cloud-based solutions.
Collaborate with enterprise architects, data engineers, and BI developers to ensure architectural alignment.
Ensure compliance with data governance, security, and privacy policies.
Required Qualifications:
10+ years of overall experience in data architecture, with at least 3+ years in Azure cloud platforms.
3+ years hands-on experience in Databricks and ADF, with strong proficiency in building ETL/ELT pipelines.
Deep understanding of insurance business processes, especially:
Guidewire PolicyCenter, BillingCenter, and ClaimCenter data models.
Experience in client-facing leadership roles; ability to manage stakeholders and drive strategic initiatives.
Consulting background with firms such as Accenture, Deloitte, or Capgemini (preferred or required).
Excellent communication, problem-solving, and documentation skills.
Preferred Skills:
Azure Synapse, Delta Lake, Power BI, and Azure Data Lake Storage Gen2.
Understanding of data governance frameworks and tools like Azure Purview.
Familiarity with Agile delivery methodologies.
Industry certifications in Azure or Databricks are a plus