Data Architect jobs in United States
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USAble Life · 11 hours ago

Data Architect

USAble Life is committed to making a meaningful difference in the lives of others through its diverse workforce and community support initiatives. The Data Architect role is critical for leading the modernization of the data ecosystem, designing data pipelines, and ensuring data quality and governance to support organizational growth and informed decision-making.

Health CareSecurity
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Growth Opportunities

Responsibilities

Develop and maintain the enterprise data architecture roadmap aligned with business goals
Lead the design and implementation of the enterprise Operational Data Store (ODS) and a Data Warehouse (DW), ensuring scalable, governed, secure, and business‑aligned data platforms
Define & contribute to standards for data modeling, data integration, data quality, and metadata management
Architect scalable solutions spanning data ingestion, transformation, storage, and consumption
Partner with IT, analytics, and business stakeholders to align architecture with operational needs and growth plans
Design and deliver modern, automated, and resilient data pipelines (batch and real‑time) that feed the ODS, DW, and downstream analytics environments
Evaluate current systems and plan the migration from legacy data processes to modern hybrid and/or cloud-based architectures
Ensure pipelines are optimized for performance, maintainability, and data quality
Establish standards and frameworks for orchestration, monitoring, and version control
Optimize data ingestion and transformation processes to meet SLAs for operational and analytical reporting
Embed data governance, security controls, and quality validation rules throughout pipeline and platform designs
Collaborate with the Data Governance team to implement enterprise data standards, documentation, and stewardship practices
Contribute to the design of data quality frameworks and ensure validation rules are embedded into pipelines
Support metadata management, lineage tracking, and cataloging initiatives
Ensure architectural decisions maintain compliance with regulatory, privacy, and data protection requirements
Collaborate closely with business leaders, data stewards, and analysts to understand data needs and translate them into scalable technical solutions
Promote data fluency and best practices across all levels of the organization
Serve as a trusted advisor on data design, integration, and analytics optimization
Evaluate and recommend modern data platforms, tools, and architectures aligned with our size and growth trajectory (e.g., cloud data platforms, real‑time streaming solutions)
Stay current on emerging technologies related to cloud data platforms, AI/ML readiness, and data governance automation
Lead or support vendor evaluations for data tooling
Performs other related duties and responsibilities as assigned

Qualification

Data architectureCloud data platformsData pipeline developmentData governanceData modelingETL/ELT pipelinesInsurance industry knowledgeCollaborationCommunication skillsLeadership skills

Required

Deep understanding of data architecture and modern data engineering principles, including data modeling, integration patterns, scalable platform design, and data pipeline development, rather than general application‑level software engineering
Strong understanding of insurance industry practices and enterprise data ecosystems, with the ability to identify how data platforms, analytics, and information architecture enable business value, operational efficiency, and informed decision‑making
Excellent verbal, written, and presentation skills, with the ability to clearly communicate complex data and architectural concepts to data engineers, analysts, product owners, business leaders, and technical partners
Familiarity with automated data platforms and the data lifecycle, including Agile delivery models, data engineering workflows, and integration with broader SDLC practices, ensuring architectural alignment without requiring deep application development ownership
Ability to quickly understand business processes and the data that supports them, including upstream source systems, downstream analytics and reporting dependencies, and end‑to‑end data flows across the enterprise
Proven ability to prioritize architectural initiatives, manage multiple data modernization efforts concurrently, and deliver durable, scalable solutions that meet operational and analytical needs within established timelines
Strong leadership, collaboration, and influencing skills, with a demonstrated ability to guide data engineering practices, influence platform standards, and mentor technical peers without formal people‑management responsibility
Experience evaluating and recommending modern data platforms, tools, and architectures, including cloud‑based data ecosystems, integration technologies, and analytics enablement solutions aligned to organizational growth and strategy
Comfort working in hybrid or remote environments, effectively collaborating across distributed teams and maintaining strong architectural alignment, documentation, and communication standards
Understanding of regulatory, compliance, and data protection standards, such as HIPAA, SOX, and internal audit controls, and how they influence data architecture, data governance, security design, and platform decisions
Strategic thinker with strong architectural discipline
Hands‑on builder who enjoys creating scalable solutions
Collaborative partner comfortable working across functions
Clear, concise communicator capable of simplifying complex topics
Advocates for data quality, governance, and data‑driven decision‑making
Bachelor's Degree in related field – or equivalent military experience
5–8+ years of experience in data architecture, data engineering, or related fields
Proven experience designing and building cloud‑based data platforms (Azure, AWS, GCP, or Snowflake, etc.)
8+ years of IT experience
Proficiency with modern data processing technologies
Hands‑on experience designing ODS and/or DW solutions
Demonstrated experience building and maintaining ETL/ELT pipelines
Solid understanding of data modeling techniques
Experience with data governance concepts
Ability to translate complex technical topics into clear language

Preferred

Experience with a BlueCross BlueShield Plan or other health and/or life insurance-related company
Experience in designing new data capabilities from the ground up
Knowledge of Master Data Management (MDM) principles and practices
Experience supporting analytics, BI tools, and self-service data ecosystems
Exposure to regulated data environments

Benefits

Outstanding and affordable benefits package
PTO provided at date of hire
11 paid holidays
401(k) with up to 6% match; fully vested from day 1
Remote opportunities with company-provided equipment
Career advancement opportunities
Tuition Reimbursement
Employee Assistance Program
Inclusion Council and Employee Resource Groups
Recharge Days and Volunteer Time Off

Company

USAble Life

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USAble Life provides comprehensive and benefits for employees.

Funding

Current Stage
Late Stage

Leadership Team

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Richard Macy
President & CEO
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