CRC Insurance Services Logo

CRC Insurance Services

Senior Data Architect

Reposted One Month Ago
Be an Early Applicant
In-Office
Charlotte, NC, USA
Senior level
In-Office
Charlotte, NC, USA
Senior level
Design and implement scalable data architectures for analytics in the insurance industry, focusing on Databricks and data governance.
The summary above was generated by AI

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one.

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st Shift (United States of America)

Please review the following job description:

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.

Key Responsibilities:

Data Architecture & Strategy

  • 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

Data Engineering & Analytics Enablement

  • 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.

Governance & Quality

  • 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.

Collaboration & Leadership

  • 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.

Required Qualifications:

  • 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.

Preferred Skills:

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

General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being – physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. 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.

CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.

EEO is the Law   Pay Transparency Nondiscrimination Provision   E-Verify

HQ

CRC Insurance Services Charlotte, North Carolina, USA Office

Charlotte, NC, United States

Similar Jobs

2 Hours Ago
In-Office
146K-219K Annually
Senior level
146K-219K Annually
Senior level
Biotech
Leads enterprise AI solution architecture across HR, Compliance, and Legal. Designs and delivers LLM, RAG, predictive analytics, knowledge-base, data pipeline, workflow automation, and MLOps capabilities. Directs engineers and vendors, establishes evaluation and governance frameworks, ensures privacy and responsible AI compliance, and drives scalable, auditable production solutions and organizational adoption.
Top Skills: AWSData PipelinesGenerative AiLarge Language Models (Llms)Machine Learning FrameworksMlopsPythonRetrieval-Augmented Generation (Rag)
Yesterday
In-Office or Remote
United States
150K-210K Annually
Senior level
150K-210K Annually
Senior level
Cloud • Information Technology • Security • Software
Designs, builds, and maintains scalable data pipelines, data models, and platform infrastructure supporting enterprise reporting, analytics, and AI-driven decisions. Responsibilities include ingesting SaaS application data, developing medallion architecture layers and dbt transformations, implementing data quality monitoring, enforcing governance and access controls, and delivering reusable semantic data assets. The role collaborates with analytics, BI, and business teams, participates in Agile delivery, evaluates modern data-stack tools, and promotes engineering excellence through testing, documentation, and code reviews.
Top Skills: Ai Coding AssistantsAmazon RedshiftApache AirflowAutomated Anomaly DetectionAws GlueCbacChange Data Capture (Cdc)DatabricksDbtFivetranLlm-Based Documentation GenerationMarketoOracle FusionPythonRbacRest ApisSalesforceSnowflakeSQLZuora
13 Days Ago
In-Office
Charlotte, NC, USA
133K-157K Annually
Senior level
133K-157K Annually
Senior level
Fintech
Leads enterprise architecture and implementation of financial crime, risk, compliance, and regulatory data platforms. Modernizes legacy ecosystems using cloud-native and Databricks-based lakehouse architectures, develops data models, establishes governance and security standards, and partners with business, engineering, analytics, and risk teams. Evaluates emerging technologies, ensures scalable and resilient data services, and mentors technical teams.
Top Skills: SparkAWSAzureDatabricksDelta LakeIamPythonSQL

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account