Senior Data Architect

CRC Insurance Services, Inc.•Charlotte, NC

68d

About The Position

We are seeking an experienced Data Architect with deep expertise in Databricks and a strong understanding of the insurance industry. The ideal candidate will design and implement scalable data architectures that support advanced analytics, reporting, and AI/BI/ML initiatives across Broking, Binding, underwriting, claims, actuarial, and policy management functions.

Requirements

Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or related field.
7+ years of experience in data architecture or data engineering, with at least 4 years in Databricks.
Strong experience with insurance data models, including policy, claims, premium, fees, agency, underwriting, accounting, and insured domains.
Expertise in cloud platforms (AWS, Azure, or GCP) and modern data lakehouse architecture.
Proficiency in SQL, PySpark, Delta Lake, and Databricks SQL.
Experience integrating with BI tools (Power BI, Tableau, Looker) and data governance tools.
Excellent communication and stakeholder management skills.

Nice To Haves

Experience with streaming data frameworks (Kafka, Delta Live Tables).
Familiarity with AI/ML pipelines in Databricks.
Databricks Certified Data Engineer Professional
Azure/AWS Certified Data Architect
Insurance Data Management Association (IDMA) certifications

Responsibilities

Design and implement enterprise data architecture leveraging Databricks Lakehouse, Delta Lake, and Azure cloud-native services
Define data integration, modeling, and governance frameworks tailored for insurance data domains such as agency, carrier, policy, claims, Invoicing & billing, and reinsurance.
Create scalable and secure data pipelines that handle structured and unstructured data from internal and external sources.
Author and maintain technological roadmap with mappings to business capabilities
Experiment and establish adoption blueprint for emerging capabilities within Databrick and in data technology
Secure the data with appropriate NIST cyber controls
Lead the design of ETL/ELT pipelines using PySpark, SQL, Delta Live Tables, Lakeflow connect, Autoloader, Lake flow declarative pipelines, DBT, and Databricks Workflows.
Partner with actuarial, underwriting, and BI teams to design semantic layers and analytics-ready datasets.
Optimize performance and cost of Databricks clusters and workflows.
Enable machine learning and predictive analytics by providing clean, governed, and feature-rich data sets.
Review solution developed by the divisional teams and vendors to ensure the solution uses modern technology, built to scale, has resilience, and is cost effective to operate.
Implement data quality, lineage, and metadata management frameworks using tools like Unity Catalog, Collibra, or Alation.
Establish and enforce data security and compliance policies aligned with insurance regulations (e.g., NAIC, Privacy, HIPAA, GDPR, CFIUS).
Ensure consistency of master data across operational and analytical systems.
Collaborate with business leaders, data engineers, divisional data teams, data visualization experts, and platform head to align architecture with organizational goals.
Mentor teams on best practices for data modeling, Databricks optimization, and cloud data architecture.
Evaluate new technologies to continuously improve data strategy and capabilities.

Benefits

Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match.
CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more.
Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan.

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