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Senior Solutions Architect (Interoperability & Data)

Pittsburgh PA, 15222, PAP, Penn Avenue Place

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Highmarkhealth

What you’ll work on

Full posting
  • Design and govern enterprise-scale data lakehouse and interoperability solutions

  • Drive architecture patterns using FHIR, HL7 v2, HL7 v3, CDA and CCD

  • Define the technical roadmap and reference architectures

  • Guide development teams on REST APIs, Java, Python, Spark and SQL standards

  • Establish DevOps and Infrastructure as Code governance using Terraform and GitHub

From the employer’s posting
Design and govern enterprise-scale solutions utilizing modern Data Lakehouse architectures
Drive architectural patterns leveraging healthcare data exchange standards
This role defines the technical roadmap, reference architectures, and governance
Guide development teams on REST API frameworks, Java development standards and classes for interface programming, Python, Spark development, and Advanced SQL
Establish and enforce DevOps principles, GitHub code repositories, YAML cloud configuration management, and Infrastructure as Code using Terraform

What you’ll bring

All qualifications

Core experience

  • 5 years of experience in technical expertise in both mainframe and/or open systems environments (system software, application software, databases, etc.)
  • 5+ years of experience in the healthcare industry, specifically focusing on healthcare data exchange, interoperability standards (FHIR, HL7), and clinical/payer data flows.
  • Bachelor's Degree in Information Technology, Computer Science, Mathematics or related field
  • 6 years of relevant work experience in lieu of a Bachelor's Degree
  • 5 years of experience in enterprise environment including experience as a technology lead with technical decision making responsibilities and application development or infrastructure services experience
  • Demonstrated experience architecting and implementing modern cloud Data Lakehouse solutions (GCP, BigQuery, Iceberg, Kafka).
Qualification wording
5 years of experience in technical expertise in both mainframe and/or open systems environments (system software, application software, databases, etc.)
5+ years of experience in the healthcare industry, specifically focusing on healthcare data exchange, interoperability standards (FHIR, HL7), and clinical/payer data flows.
Bachelor's Degree in Information Technology, Computer Science, Mathematics or related field
6 years of relevant work experience in lieu of a Bachelor's Degree
5 years of experience in enterprise environment including experience as a technology lead with technical decision making responsibilities and application development or infrastructure services experience
Demonstrated experience architecting and implementing modern cloud Data Lakehouse solutions (GCP, BigQuery, Iceberg, Kafka).
Education & alternatives
Required - Bachelor's Degree in Information Technology, Computer Science, Mathematics or related field Preferred
Substitution - 6 years of relevant work experience in lieu of a Bachelor's Degree LICENSES or CERTIFICATIONS

Tools in this posting

  • Java
  • Python
  • SAS
  • SQL
  • BigQuery
  • Databricks
  • dbt
  • GCP
  • Iceberg
  • Kafka
  • Terraform
  • Airflow
Source — Tool mentions in context
- Data Lakehouse & Cloud Ecosystems: Architect solutions using GCP Dataproc, Confluent Kafka, Apache Airflow/Composer, Open Database Format/Apache Iceberg, Google Metastore Metadata layers, Google BigQuery (via dbt), Starburst federation, Monte Carlo data quality, and Atlan data catalogs. (Note: Familiarity with legacy/transitionary technologies such as Databricks Medallion architecture, SAS, and Teradata is a plus). - Application Integration & Development Standards: Guide development teams on REST API frameworks, Java development standards and classes for interface programming, Python, Spark development, and Advanced SQL. - DevOps & Infrastructure Governance: Establish and enforce DevOps principles, GitHub code repositories, YAML cloud configuration management, and Infrastructure as Code using Terraform.
- Demonstrated experience architecting and implementing modern cloud Data Lakehouse solutions (GCP, BigQuery, Iceberg, Kafka). - Strong background in API development frameworks, Java/Python integration, and Infrastructure as Code (Terraform, GitHub CI/CD). SKILLS
- Modern Data Lakehouse Architectures & Tooling (GCP, Kafka, Airflow, Iceberg, Starburst, dbt) - Integration & Application Development (Java, Python, REST APIs, Advanced SQL) - DevOps & Infrastructure as Code (Terraform, GitHub, YAML)
- Domain & Standards Expertise: Drive architectural patterns leveraging healthcare data exchange standards—including HL7 v2 (ADT, SIU, ORU), HL7 v3 (CDA, CCD), and Fast Healthcare Interoperability Resources (FHIR). - Data Lakehouse & Cloud Ecosystems: Architect solutions using GCP Dataproc, Confluent Kafka, Apache Airflow/Composer, Open Database Format/Apache Iceberg, Google Metastore Metadata layers, Google BigQuery (via dbt), Starburst federation, Monte Carlo data quality, and Atlan data catalogs. (Note: Familiarity with legacy/transitionary technologies such as Databricks Medallion architecture, SAS, and Teradata is a plus). - Application Integration & Development Standards: Guide development teams on REST API frameworks, Java development standards and classes for interface programming, Python, Spark development, and Advanced SQL.
- 5+ years of experience in the healthcare industry, specifically focusing on healthcare data exchange, interoperability standards (FHIR, HL7), and clinical/payer data flows. - Demonstrated experience architecting and implementing modern cloud Data Lakehouse solutions (GCP, BigQuery, Iceberg, Kafka). - Strong background in API development frameworks, Java/Python integration, and Infrastructure as Code (Terraform, GitHub CI/CD).
- Healthcare Interoperability Standards (FHIR, HL7 v2/v3, CDA, CCD) - Modern Data Lakehouse Architectures & Tooling (GCP, Kafka, Airflow, Iceberg, Starburst, dbt) - Integration & Application Development (Java, Python, REST APIs, Advanced SQL)
- Application Integration & Development Standards: Guide development teams on REST API frameworks, Java development standards and classes for interface programming, Python, Spark development, and Advanced SQL. - DevOps & Infrastructure Governance: Establish and enforce DevOps principles, GitHub code repositories, YAML cloud configuration management, and Infrastructure as Code using Terraform. - Stakeholder Engagement & Roadmap Planning: Collaborate closely with product owners, product managers, and senior business/IT leaders to translate complex requirements into a robust architectural runway and roadmap. Present and justify solution designs to executive stakeholders.
- Integration & Application Development (Java, Python, REST APIs, Advanced SQL) - DevOps & Infrastructure as Code (Terraform, GitHub, YAML) - Data Governance & Quality (Atlan, Monte Carlo)

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Live
First seen by us
Oct 15, 2026 · 14 days ago
Recorded sightings
32
Last seen by us
Oct 29, 2026
Employer says posted
Oct 2, 2026

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Job description

View original posting ↗

Company :

enGen

Job Description : 

JOB SUMMARY

This position is responsible for providing senior architectural leadership, direction, and governance, specifically advising on and driving both provider and payer/provider interoperability initiatives and architectures. The Senior Solutions Architect provides technical and thought leadership that aligns business goals with modern cloud data lakehouse architectures, advanced healthcare data exchange standards, and robust integration frameworks. This role defines the technical roadmap, reference architectures, and governance for complex, enterprise-scale data and interoperability solutions.


ESSENTIAL RESPONSIBILITIES

  • Interoperability & Architectural Leadership: Serve as a trusted advisor and technical authority advising on both provider and payer/provider interoperability initiatives. Design and govern enterprise-scale solutions utilizing modern Data Lakehouse architectures, cloud-native services, and complex data exchange standards.
  • Domain & Standards Expertise: Drive architectural patterns leveraging healthcare data exchange standards—including HL7 v2 (ADT, SIU, ORU), HL7 v3 (CDA, CCD), and Fast Healthcare Interoperability Resources (FHIR).
  • Data Lakehouse & Cloud Ecosystems: Architect solutions using GCP Dataproc, Confluent Kafka, Apache Airflow/Composer, Open Database Format/Apache Iceberg, Google Metastore Metadata layers, Google BigQuery (via dbt), Starburst federation, Monte Carlo data quality, and Atlan data catalogs. (Note: Familiarity with legacy/transitionary technologies such as Databricks Medallion architecture, SAS, and Teradata is a plus).
  • Application Integration & Development Standards: Guide development teams on REST API frameworks, Java development standards and classes for interface programming, Python, Spark development, and Advanced SQL.
  • DevOps & Infrastructure Governance: Establish and enforce DevOps principles, GitHub code repositories, YAML cloud configuration management, and Infrastructure as Code using Terraform.
  • Stakeholder Engagement & Roadmap Planning: Collaborate closely with product owners, product managers, and senior business/IT leaders to translate complex requirements into a robust architectural runway and roadmap. Present and justify solution designs to executive stakeholders.
  • Other duties as assigned or requested.

EXPERIENCE

Required

  • 5 years of experience in technical expertise in both mainframe and/or open systems environments (system software, application software, databases, etc.)
  • 5 years of experience in enterprise environment including experience as a technology lead with technical decision making responsibilities and application development or infrastructure services experience
  • 5 years of experience in IT solutions delivery
  • 5 years of experience in providing consultative solutions architecture and support services of enterprise scope and depth
  • 1 year of experience in using modeling languages
  • 1 year as a Solutions Architect

Preferred

  • 5+ years of experience in the healthcare industry, specifically focusing on healthcare data exchange, interoperability standards (FHIR, HL7), and clinical/payer data flows.
  • Demonstrated experience architecting and implementing modern cloud Data Lakehouse solutions (GCP, BigQuery, Iceberg, Kafka).
  • Strong background in API development frameworks, Java/Python integration, and Infrastructure as Code (Terraform, GitHub CI/CD).

SKILLS

  • Healthcare Interoperability Standards (FHIR, HL7 v2/v3, CDA, CCD)
  • Modern Data Lakehouse Architectures & Tooling (GCP, Kafka, Airflow, Iceberg, Starburst, dbt)
  • Integration & Application Development (Java, Python, REST APIs, Advanced SQL)
  • DevOps & Infrastructure as Code (Terraform, GitHub, YAML)
  • Data Governance & Quality (Atlan, Monte Carlo)
  • TOGAF / Enterprise Architecture Frameworks
  • Executive Communication & Strategic Advisory Skills


EDUCATION

Required

  • Bachelor's Degree in Information Technology, Computer Science, Mathematics or related field


Preferred

  • None

    Substitution

    • 6 years of relevant work experience in lieu of a Bachelor's Degree

    LICENSES or CERTIFICATIONS

    Required

    • None


    Preferred

    • SAFe Architect
    • ArchiMate

    ​

    Language (Other than English):

    None

    Travel Requirement:

    0% - 25%

    PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

    Position Type

    Office- Hybrid

    Teaches / trains others

    Occasionally

    Travel from the office to various work sites or from site-to-site

    Rarely

    Physical work site required

    No

    Lifting: up to 10 pounds

    Constantly

    Lifting: 10 to 25 pounds

    Occasionally

    Lifting: 25 to 50 pounds

    Rarely

    Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

    Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.


    As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times.  In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. 

    Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.


    Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.



    California Consumer Privacy Act Employees, Contractors, and Applicants Notice

    Source details

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    Pay

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    Location & working pattern

    Pittsburgh PA, 15222, PAP, Penn Avenue Place

    Position Type Office- Hybrid Teaches / trains others
    More source context
    As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
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