Senior Data Architect, Team Innovation

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in data architecture, designing and implementing scalable data solutions.
  • Strong knowledge of cloud technologies, specifically Azure or AWS.
  • Experience in building data pipelines, data lakes, and ETL frameworks.
  • Fluency in insurance brokerage data environments is crucial.
  • Desirable background in project management systems or construction industry data.

Responsibilities

  • Lead vendor engagements and serve as the technical point of contact during platform builds.
  • Build and optimize cloud-based data pipelines and architecture across major platforms.
  • Ensure that system integrations maintain security, scalability, and compliance.
  • Establish data standards and governance in collaboration with functional leaders.
  • Automate data workflows and maintain version control using CI/CD practices.
  • Design and manage the architecture of external client portal data layers.
  • Monitor data quality and operational accuracy across data systems.

Benefits

  • Comprehensive benefits package including health insurance.
  • Collaborative and innovative work environment.
  • Culture emphasizing continuous learning and professional development.
  • 401k with an above-average employer match of up to 5%.
  • Flexible work arrangements and mental health services promoting work/life balance.
  • Educational assistance and student loan support.
  • Leadership training and support offered.
Full Job Description

About the Role

We areseekinga Senior Data Architect to join our TeamInnovation,reporting to our SVP Learning & Technology.The Senior Data Architectis responsible fordesigning, building, andmaintainingscalable, secure, and reliable data infrastructure that powers AmericanGlobals(AG) analytics, automation, and innovation initiatives.

This role willleadthe development of cloud-based data pipelines, system integrations, and data models that support both internal operations and external client-facing analytics and portals. The role works in close partnership with external delivery vendors during active platform build phases, serving as AGs primary technical counterpart, architecture reviewer, and knowledge transfer owner.

The Senior Data Architect serves as the technical bridge between system data sources and AGs data platforms. The position also mentors junior team members, drives best practices, and ensures alignment between technical implementation and businessobjectives.

Ideal locations are near our Jericho, NY or Oakville, Canada offices. Position can be remote.

Works closely with:VP Innovation & Insights | VP Data, Analytics and Automation | Data Engineer | Project Manager, Technology & Innovation | Business Systems Analyst

KeyResponsibilitiesInclude

Fundamentals

  • Serve as AG's primary technical counterpart during vendor-led delivery engagements: review architecture decisions,validateimplementation against AG requirements, and own knowledge transfer to ensure internal capability is built, not just delivered.

  • Build andoptimizecloud-based data pipelines, data lakes, data warehouses, and ETL frameworks using cloud-native tooling across major platforms (Azure, AWS, or equivalent); ability to evaluate, recommend, and work within the chosen platform as AG's architecture evolves.

  • Ensure system integrations are scalable, secure, and aligned with compliance standards.

  • Partner with Team Innovation and functional department leaders toestablishdata standards, governance, and documentation.

  • Implement version control, CI/CD, and data workflow automation practices.

Data

  • Design, build, and automate data models, ingestion pipelines, and transformation workflows across source systems and Medallion layers; own platform stability and schema evolution post-vendor engagement.

  • Implement monitoring processes for data quality, validation, and integrity across all platforms.

  • Design and build external client portal data layer: implement Row-Level Security (RLS) in Power BI, manage client-scoped semantic models, and support embedded analytics delivery to external stakeholders.

  • Design and enforce RBAC, data classification, and access control policies across all data layers using Azure Purview and Microsoft Entra ID; build andmaintainPower BI semantic models and dashboards for internal and external stakeholders, including Row-Level Security for client-scoped data.

Operations

  • Partner with DataEngineerto guide day-to-day technical execution and ensure adherence to architecture principles.

  • Monitor and manage Azure cloud resource costs: right-size compute clusters, implement resource tagging, configure budget alerts, and report on consumption trends.

  • Collaborate with Business Systems Analyst to ensure operational data isaccurate, labeled correctly, and accessible and connect operational system data into centralized data models.

  • Troubleshoot andoptimizeperformance across APIs, integrations, and data warehouse environments.

  • Additionalresponsibilities asrequired

Skills & ExperienceThatLeadto Success:

  • Fluency in insurance brokerage data environments

  • Prior experience with Applied Epic or comparable insurance managementand/or claimssystemspreferred

  • Prior experience with construction industry data environments, project managementsystems,and/orrisk and surety datapreferred

What You Can ExpectFromUs:

  • Comprehensive Benefits Package

  • Collaborativeand innovativeenvironment

  • Culture of continuous learning and professional development

  • Competitive salary package

  • 401k withabove-averageemployer matchofup to 5% of your salary

  • Leadership training and support

  • Work/Life Balance (Summer Fridays, flexible workarrangementsand mental health services)

  • Education and Student Loan Assistance

The salary range for this position (intended for U.S. applicants)will vary based on applicants education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based onapplicantsgeographic location.

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