Newfire Global Partners

Data Architect

Newfire Global Partners

full-time

Posted on:

Location Type: Remote

Location: Remote • Massachusetts • 🇺🇸 United States

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Salary

💰 $201,300 - $236,500 per year

Job Level

SeniorLead

Tech Stack

AirflowAWSCloudETLKafka

About the role

  • Assess the current data ecosystem across multiple services and databases, identifying areas for standardization and modernization.
  • Define the enterprise data architecture, encompassing operational, analytical, and AI data domains.
  • Establish and evangelize data architecture principles, frameworks, and governance models aligned with business objectives.
  • Design logical and physical data models that support both transactional and analytical workloads.
  • Lead the design of a unified data platform leveraging modern cloud-native data technologies (Databricks, AWS RDS, data pipelines, etc.)
  • Define patterns for data ingestion, transformation, and integration (e.g., ETL/ELT pipelines, event streaming, APIs).
  • Partner with DevOps to ensure robust CI/CD pipelines and Infrastructure-as-Code for data components.
  • Implement data governance practices ensuring consistency, accuracy, and lineage across data assets.
  • Collaborate with Compliance and Security to ensure adherence to HIPAA, CMS, and other healthcare regulations.
  • Define policies and mechanisms for access control, encryption, retention, and auditing.
  • Partner with Product and Analytics teams to translate business needs into data models and pipelines.
  • Collaborate with the AI/ML team to design data flows that support predictive and generative AI initiatives.
  • Serve as a bridge between engineering and business stakeholders, ensuring data strategy supports decision-making and reporting.
  • Guide the selection of technologies and tools for data storage, transformation, and visualization.
  • Mentor engineers and analysts on data architecture best practices.
  • Drive continuous improvement of data processes through automation and observability.

Requirements

  • 12+ years of experience in data engineering and architecture, with 5+ years in leadership roles.
  • Proven success designing and implementing scalable data architectures in complex environments.
  • Experience working with healthcare, payer, or regulated data systems is highly desirable.
  • Deep understanding of relational and non-relational data modeling, schema design, and normalization/denormalization strategies.
  • Strong background in AWS data stack.
  • Expertise with modern data integration frameworks and orchestration tools (e.g., Airflow, dbt, Kafka, or AWS Step Functions).
  • Familiarity with data mesh, data fabric, and lakehouse architectural concepts. Databricks a plus.
  • Experience establishing data governance frameworks and metadata management practices.
  • Knowledge of PHI handling, HIPAA compliance, and secure data exchange standards (FHIR, HL7, CMS interoperability rules).
  • Working knowledge and experience with data catalogs.
  • A pragmatic architect who balances long-term vision with incremental delivery.
  • Strong communication and influencing skills across technical and business audiences.
  • Demonstrated ability to lead change and drive alignment in multi-team environments.
  • Experience with healthcare payer platforms, claims data, or population health systems.
  • Familiarity with AI/ML data pipelines, feature stores, and model-serving architectures.
  • Contributions to data architecture communities, open-source tools, or published best practices.
Benefits
  • Remote-first environment with company provided computer
  • Thirteen paid holidays per year (average)
  • Medical, dental and vision coverage with multiple levels of coverage
  • HSA, FSA and Dependent Care accounts
  • Short-term and Long-term disability
  • Life and accidental death insurance
  • Discounted voluntary benefits, such as additional life insurance
  • Employee Assistance Program
  • Paid Parental Leave
  • Flexible vacation time
  • 401(k) with employer matching and immediate vesting

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata modelingdata governancedata integrationETLELTcloud-native technologiesdata pipelinesdata transformationdata visualization
Soft skills
leadershipcommunicationinfluencingcollaborationmentoringchange managementstrategic thinkingproblem-solvingcontinuous improvementstakeholder engagement