Principal Information Architect

Life in Pittsburgh; Pittsburgh (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Job summary

Pittsburgh Tomorrow is seeking an experienced Data Architect to define and implement enterprise information architectures across healthcare payer initiatives. You will shape roadmaps, models, and standards while guiding cross-functional teams in scalable, compliant data solutions.

Lead governance, data quality, and interoperability patterns, leveraging Azure, Snowflake, and Oracle. Expect collaboration with BI, security, and analytics squads to drive trusted reporting and analytics outcomes.

Qualifications

• 9+ years of experience in enterprise data architecture or related field.
• Bachelor's degree in a related field required.

Responsibilities

• Define and maintain enterprise information and data architecture strategies, principles, standards, reference architectures, and roadmaps.
• Translate business and technical requirements into scalable architecture blueprints aligned with healthcare payer capabilities and strategic objectives.
• Develop current-state, transition-state, and target-state information architectures.
• Define conceptual and logical information models, common business definitions, information domains, canonical models, and authoritative data sources.
• Establish architectural patterns for master and reference data, metadata, data lineage, data quality, information lifecycle management, and systems of record.
• Partner with data governance teams, business owners, and data stewards to establish information ownership, accountability, and standards.
• Define integration and interoperability patterns supporting APIs, events, messaging, ETL/ELT, batch processing, streaming, FHIR, HL7, and X12/EDI.
• Provide architectural direction for data warehouses, data lakes, lakehouses, analytical platforms, and distributed data environments.
• Guide the appropriate use of Microsoft Azure, Azure SQL, Snowflake, Oracle, SQL, NoSQL, ETL/ELT, and master data management platforms.
• Collaborate with analytics and business intelligence teams to establish consistent business definitions, governed metrics, semantic models, and trusted reporting.
• Ensure information architecture incorporates security, privacy, regulatory, data-quality, and information lifecycle requirements.
• Participate in architecture governance and evaluate proposed solutions for alignment with enterprise standards and target-state architecture.
• Document architecture decisions, alternatives, risks, dependencies, and technical tradeoffs.
• Facilitate architecture reviews and cross-domain design discussions involving business, product, engineering, analytics, security, and architecture teams.
• Communicate the business impact of architecture decisions and mentor architects, engineers, analysts, and data practitioners

Skills

Data Architecture

Microsoft Azure

Snowflake

SQL

NoSQL

Oracle

ETL/ELT

Data Warehousing

Data Lakes and Lakehouses

Healthcare Interoperability Standards

APIs and Event-Driven Integration

Business Intelligence and Data Visual

Metadata Management and Data Lineage

Master Data Management

Data Governance

Data Mining and Segmentation

Predictive Analytics ML AI

Streaming Data Pipelines

Distributed Systems

Enterprise Information Architecture

Healthcare Payer Domain Knowledge

Architecture Governance

Data Lifecycle Management

Stakeholder Management

Written and Verbal Communication

Mentoring and Coaching

Technical Documentation

Cross-functional Collaboration

Business Analysis

Agile Delivery

Education

Bachelor's degree

Job description

Key Responsibilities

• Define and maintain enterprise information and data architecture strategies, principles, standards, reference architectures, and roadmaps
• Translate business and technical requirements into scalable architecture blueprints aligned with healthcare payer capabilities and strategic objectives
• Develop current-state, transition-state, and target-state information architectures
• Define conceptual and logical information models, common business definitions, information domains, canonical models, and authoritative data sources
• Establish architectural patterns for master and reference data, metadata, data lineage, data quality, information lifecycle management, and systems of record
• Partner with data governance teams, business owners, and data stewards to establish information ownership, accountability, and standards
• Define integration and interoperability patterns supporting APIs, events, messaging, ETL/ELT, batch processing, streaming, FHIR, HL7, and X12/EDI
• Provide architectural direction for data warehouses, data lakes, lakehouses, analytical platforms, and distributed data environments
• Guide the appropriate use of Microsoft Azure, Azure SQL, Snowflake, Oracle, SQL, NoSQL, ETL/ELT, and master data management platforms
• Collaborate with analytics and business intelligence teams to establish consistent business definitions, governed metrics, semantic models, and trusted reporting
• Ensure information architecture incorporates security, privacy, regulatory, data-quality, and information lifecycle requirements
• Participate in architecture governance and evaluate proposed solutions for alignment with enterprise standards and target-state architecture
• Document architecture decisions, alternatives, risks, dependencies, and technical tradeoffs
• Facilitate architecture reviews and cross-domain design discussions involving business, product, engineering, analytics, security, and architecture teams
• Communicate the business impact of architecture decisions and mentor architects, engineers, analysts, and data practitioners

Required Qualifications

• 9+ years of experience
• Bachelor's degree in a related field

Skills

• Data Architecture
• Microsoft Azure
• Snowflake
• SQL
• NoSQL
• Oracle
• ETL/ELT
• Data Warehousing
• Data Lakes and Lakehouses
• Healthcare Interoperability Standards
• APIs and Event-Driven Integration
• Business Intelligence and Data Visualization
• Metadata Management and Data Lineage
• Master Data Management Platforms
• Data Mining and Segmentation
• Predictive Analytics, Machine Learning, and Artificial Intelligence
• Streaming Data Pipelines
• Distributed Systems
• Enterprise Information Architecture
• Data Governance
• Healthcare Payer Domain Knowledge
• Architecture Governance
• Master Data Management
• Data Lifecycle Management
• Stakeholder Management
• Written and Verbal Communication
• Mentoring and Coaching
• Technical Documentation
• Cross-functional Collaboration
• Business Analysis
• Agile Delivery

Schedule

• Start date: 2026-11-23