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Principal Data Architect, Healthcare Analytics

Principal Data Architect, Healthcare Analytics

Teladoc HealthPurchase, NY, United States
11 days ago
Job type
  • Full-time
Job description

Update Coming to the Teladoc Health Careers page URL

As part of a system transition on October 11-12, 2025, current job posting links will no longer be accessible.

To continue viewing this job or other opportunities :

Before October 11 : Note the Job ID Number for the posting you are interested in.

After October 12 : Visit the Teladoc Health Careers to search for openings using the Job ID Number or browse other openings.

_________________________________________________________________________________

Teladoc Health is a global, whole person care company made up of a diverse community of people dedicated to transforming the healthcare experience. As an employee, you're empowered to show up every day as your most authentic self and be a part of something bigger - thriving both personally and professionally. Together, let's empower people everywhere to live their healthiest lives.

Summary of Position

We are seeking a Principal Data Architect to lead the design and implementation of our healthcare data supply chain, from source systems to analytical consumption. This role will be instrumental in building scalable data architectures that enable advanced healthcare analytics using Snowflake and Power BI platforms.

Data Architecture & Strategy

Design and implement enterprise-scale data architecture for healthcare analytics, ensuring HIPAA compliance and data governance standards throughout the data supply chain from source systems to consumption layers.

Develop comprehensive data models including conceptual, logical, and physical models that support healthcare analytics use cases while maintaining data lineage and quality across the entire ecosystem.

Lead the design of foundation data models that standardize healthcare data from disparate source systems (EHRs, claims, clinical trials, IoT devices) into unified, analytics-ready structures.

Architect semantic models and data marts optimized for Power BI consumption, ensuring optimal performance for complex healthcare analytics queries and real-time reporting requirements.

Technical Implementation

Design and optimize Snowflake data warehouse architecture including database structures, schemas, clustering strategies, and performance tuning for large-scale healthcare datasets.

Implement robust ETL / ELT pipelines using modern data engineering tools to extract, transform, and load healthcare data while maintaining data quality, security, and compliance standards.

Develop data integration strategies for connecting diverse healthcare source systems including Epic, Cerner, AllScripts, and other clinical and administrative systems to the centralized data platform.

Create and maintain Power BI semantic models including measures, calculated columns, relationships, and row-level security to support self-service analytics for clinical and operational users.

Leadership & Collaboration

Lead cross-functional teams of data engineers, analysts, and BI developers to execute complex data architecture initiatives while mentoring junior team members on best practices.

Collaborate with clinical stakeholders including physicians, nurses, quality managers, and executives to understand healthcare analytics requirements and translate them into technical specifications.

Partner with IT security and compliance teams to ensure all data architecture solutions meet healthcare regulatory requirements including HIPAA, HITECH, and state privacy regulations.

Work closely with vendor partners and third-party data providers to establish secure data feeds and integration protocols for external healthcare datasets.

Data Governance & Quality

Establish data governance frameworks including data cataloging, metadata management, data lineage tracking, and master data management specific to healthcare data domains.

Implement comprehensive data quality monitoring and validation processes to ensure accuracy, completeness, and consistency of healthcare data throughout the supply chain.

Design data security and privacy controls including encryption, masking, and access controls to protect sensitive patient information while enabling analytics capabilities.

Develop data lifecycle management strategies for healthcare data retention, archival, and deletion in compliance with regulatory requirements and organizational policies.

Innovation & Optimization

Evaluate and implement emerging technologies such as cloud-native analytics tools, machine learning platforms, and real-time streaming technologies to enhance healthcare analytics capabilities.

Optimize data platform performance through continuous monitoring, tuning, and scaling strategies to support growing healthcare data volumes and user demands.

Lead proof-of-concept initiatives for advanced analytics use cases including predictive modeling, population health analytics, and clinical decision support systems.

Drive automation initiatives to reduce manual processes in data pipeline management, monitoring, and maintenance while improving overall system reliability and efficiency.

The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.

Supervisory Responsibilities

No

Qualifications Expected for Position

Bachelor's degree in Computer Science, Information Systems, or related field; Master's preferred

8+ years of data architecture experience with 3+ years in healthcare analytics

Expert-level proficiency in Snowflake data warehouse design and optimization

Advanced Power BI development skills including semantic modeling and performance optimization

Strong background in healthcare data standards (HL7, FHIR, ICD-10, CPT, SNOMED)

Experience with modern data integration tools and cloud platforms

Knowledge of healthcare compliance requirements (HIPAA, HITECH)

Proven track record of leading large-scale data architecture projects

Bonus Qualifications

Healthcare industry certifications (HIPAA, CAHIMS, CPHIMS)

Experience with clinical data repositories and population health analytics

Knowledge of machine learning and advanced analytics platforms

Familiarity with value-based care and quality reporting requirements

The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here : Teladoc Health Benefits 2025 .Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

#LI-SS2 #LI-Remote

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why Join Teladoc Health?

A New Category in Healthcare : Teladoc Health is transforming the healthcare experience and empowering people everywhere to live healthier lives.

Our Work Truly Matters : Recognized as the world leader in whole-person virtual care, Teladoc Health uses proprietary health signals and personalized interactions to drive better health outcomes across the full continuum of care, at every stage in a person's health journey.

Make an Impact : In more than 175 countries and ranked Best in KLAS for Virtual Care Platforms in 2020, Teladoc Health leverages more than a decade of expertise and data-driven insights to meet the growing virtual care needs of consumers and healthcare professionals.

Focus on PEOPLE : Teladoc Health has been recognized as a top employer by numerous media and professional organizations. Talented, passionate individuals make the difference, in this fast-moving, collaborative, and inspiring environment.

Diversity and Inclusion : At Teladoc Health we believe that personal and professional diversity is the key to innovation. We hire based solely on your strengths and qualifications, and the way in which those strengths can directly contribute to your success in your new position.

Growth and Innovation : We've already made healthcare yet remain on the threshold of very big things. Come grow with us and support our mission to make a tangible difference in the lives of our Members.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity / expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status or pregnancy.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as : Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

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