Principal Data Architect

Convey
Chicago, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 197K

Job location

Chicago, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Computing Platforms
Audit Trail
Big Data
Software as a Service
Cloud Engineering
Information Systems
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
Data Integration
ETL
Data Masking
Data Security
Dataspaces
Data Systems
Distributed Systems
Electronic Data Interchange (EDI)
Machine Learning
Meta-Data Management
Cloud Services
Scaled Agile Framework
Data Streaming
Cloud Platform System
Feature Engineering
Data Ingestion
Fast Healthcare Interoperability Resources
Data Strategy
Togaf
Data Layers
Event Driven Architecture
Data Lake
Information Technology
Data Lineage
Amazon Web Services (AWS)
Health Level Seven International
Amazon Web Services (AWS)
Data Management
Cloud Migration
Api Design
Data Pipelines

Job description

We are seeking a Principal Data Architect to define and lead the enterprise data strategy, architecture, and operating model supporting our healthcare platform and analytics ecosystem.

This role will establish the target-state data architecture, governance frameworks, and cloud data platform strategy to enable scalable analytics, AI, and product innovation.

As a senior technical leader, this individual will drive enterprise-wide data standards, influence executive stakeholders, and guide cross-functional teams in delivering secure, compliant, and high-performing data solutions in a regulated healthcare environment.

Essential Duties and Responsibilities:

Data Architecture & Platform Design

· Define and own the enterprise data strategy aligned with business, product, and technology roadmaps.

· Establish the target-state architecture for data platforms, analytics, and AI enablement.

· Set architectural principles, standards, and guardrails across all data domains.

· Act as the highest-level technical authority for data architecture decisions and trade-offs.

· Drive long-term platform evolution, including cloud modernization and multi-tenant SaaS data architecture.

Data Modeling & Ecosystem Leadership

· Define the architecture for scalable, cloud-native data platforms leveraging AWS services (e.g., S3, Glue, Redshift, Athena, Kinesis, Lambda, RDS).

· Guide the design of systems supporting both operational and analytical workloads, including lakehouse and streaming architectures.

· Establish reusable patterns for ingestion, transformation, storage, and data access.

· Lead modernization of legacy data platforms to cloud-native, event-driven architectures.

Data Integration & Flow Optimization

· Define enterprise integration patterns, including API-driven, event-driven, and streaming architectures.

· Guide implementation of modern ETL/ELT and real-time data pipelines.

· Optimize data flow for scalability, performance, and cost-efficiency.

· Introduce flow-based prioritization models aligned with Agile practices such as SAFe (Scaled Agile Framework) where applicable.

Data Governance & Operating Model

· Establish and institutionalize the enterprise data governance operating model.

· Define standards for metadata management, data lineage, data quality, and stewardship.

· Drive consistency in data definitions, semantic layers, and business metrics.

· Partner with business and technology leaders to enforce accountability for data ownership and quality.

Security, Privacy & Compliance

· Define architecture standards ensuring secure, compliant handling of healthcare data (HIPAA, PHI).

· Establish best practices for encryption, access control, data masking, and auditability.

· Partner with security and compliance teams to proactively mitigate risk and ensure regulatory adherence.

AI & Advanced Analytics Enablement

· Enable enterprise AI/ML capabilities through well-governed, high-quality data ecosystems.

· Define architecture for feature engineering pipelines, model-ready datasets, and experimentation platforms.

· Establish data readiness standards to accelerate adoption of advanced analytics and AI use cases.

Leadership & Influence

· Influence executive stakeholders on data strategy, investment decisions, and architectural direction.

· Partner with Data Engineering, Product, Analytics, and Platform teams to align execution with strategy.

· Mentor architects and senior engineers, elevating architectural maturity across the organization.

· Lead cross-functional initiatives and resolve complex architectural challenges spanning multiple domains.

Requirements

Do you have experience in Data model design?, Do you have a Bachelor's degree?, · Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field required

· Master's degree or MBA with a technology focus preferred

Data Architecture

· 10+ years of experience in data architecture, data engineering, or analytics platform design.

· Proven experience designing modern cloud-based data architectures.

· Strong expertise in:

o Data modeling (dimensional, canonical, domain-based)

o Data lakes, warehouses, and lakehouse architectures

o ETL / ELT pipeline design

o Data integration and API-driven data ingestion.

AWS Data Platforms

Hands-on experience architecting data platforms using AWS services such as:

· Amazon S3, AWS Glue / Glue Catalog, Redshift, Athena, Kinesis, Lambda and RDS

Data Governance

· Experience implementing data governance frameworks including:

o Data quality

o Metadata management

o Data lineage

o Master Data Management (MDM).

Healthcare & Compliance (Preferred)

· Experience working with healthcare data environments.

· Familiarity with HIPAA and PHI data security requirements.

· Experience with healthcare data standards such as:

o FHIR, HL7, EDI/X12

Preferred Experience

· Background in enterprise or principal-level architecture roles

· Experience scaling multi-tenant SaaS or B2B platforms in regulated industries

· Proven success leading migrations (legacy to cloud, monolith to distributed systems, traditional BI to modern data platforms)

· Relevant certifications (e.g., TOGAF, AWS Solutions Architect) preferred

The expected base salary for this position ranges from $165,000 - $197,000 with a bonus target of up to 15% of the base salary. We do consider a wide range of factors when making offer decisions, including (but not limited to) the scope and responsibilities of the position, a candidate's relevant skills, training, experience, education and where applicable, licensure and certifications obtained. We also consider organizational and market factors when making offer decisions.

About the company

The Convey Health Solutions family of companies, including Pareto Intelligence , delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post, Affordable Care Act environment. As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle, from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto's deep analytics and financial intelligence complement Conveys' operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans, especially seniors and vulnerable populations. Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most., Convey Health Solutions, together with Pareto Intelligence , delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post-Affordable Care Act environment. As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle-from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto's deep analytics and financial intelligence complement Convey's operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans-especially seniors and vulnerable populations. Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most. Learn more at http://www.ConveyHealthSolutions.com   You must create an Indeed account before continuing to the company website to apply

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