Sr. Data Architect

Posted 5 Days Ago
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Newark, NJ, USA
In-Office
160K-165K Annually
Senior level
Healthtech
The Role
Designs and leads a unified, scalable data architecture across WebMD and affiliated health brands. Responsibilities include building common data access layers, data platforms, governance standards, metadata management, analytics pipelines, and warehouse or lakehouse solutions. The role guides data engineering implementation, supports cloud and streaming architectures, ensures HIPAA and privacy compliance, and aligns enterprise data initiatives with business goals.
Summary Generated by Built In

WebMD is the most recognized and trusted brand of health information and the leading provider of health information services, serving consumers, physicians, healthcare professionals, employers and health plans through our public and private online portals and WebMD the Magazine. The WebMD Health Network includes WebMD, Medscape, MedicineNet, eMedicine, RxList, theheart.org and Medscape Education. Our consumer portals and mobile health applications provide engaging, relevant and credible health and wellness information, personalized health assessment tools and access to online communities.
WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

About the Role
Internet Brands is seeking a Data Architect to design and implement a unified common data layer that will serve as the foundation for data-driven decision making across our Health vertical. This includes WebMD, Medscape, PulsePoint, and affiliate brands. The Data Architect will play a critical role in building scalable, secure, and future-proof data solutions that enable analytics, reporting, and advanced use cases across the organization.
Key Responsibilities
  • Architect and design a common data access layer across the Health vertical, ensuring consistency, scalability, and reusability for platform and AI use cases across WebMD, Medscape, PulsePoint, and affiliates while also ensuring privacy and compliance.

  • Architect large scale, automated data analytics processing for efficiency and quality.

  • Define data architecture blueprints, and metadata management approaches.

  • Partner with product, engineering, and data centralization teams across the Health vertical to migrate existing data pipelines, dashboards, automations, and reports into the centralized framework.

  • Develop and enforce data standards, governance, and modeling best practices across multiple business units.

  • Evaluate and recommend data technologies, tools, and platforms to support large-scale data integration and analytics needs.

  • Provide perspective and recommendations regarding on-prem vs. external cloud-based data base processing for different use cases and applications from a technical, support, and cost perspective.

  • Collaborate with stakeholders across Health brands to ensure alignment of data initiatives with business goals.

  • Work closely with Data Engineering teams to guide implementation, ensuring architecture designs are executed effectively.

  • Ensure solutions meet security, compliance, and privacy requirements across regulated healthcare environments (e.g., HIPAA).

  • Provide leadership in data architecture design including data modeling, performance tuning and scalability planning
  • Stay up to date on industry trends to continuously improve the organization’s data ecosystem.

Qualifications
  • 10+ years of experience in data architecture, data engineering, or related fields.

  • Proven experience designing enterprise-scale data platforms that integrate multiple products and affiliates.

  • Strong expertise in data modeling, ETL/ELT pipelines, and modern data warehouse/lakehouse solutions (e.g., Databricks, Snowflake, Redshift, BigQuery).

  • Hands-on experience with cloud data platforms (AWS, Azure, or GCP) and related services.

  • Knowledge of data governance, metadata management, and master data management.

  • Experience with compliance and privacy regulations (HIPAA, GDPR preferred).

  • Experience in healthcare data ecosystems (clinical data, claims data, provider/consumer platforms).

  • Hands-on experience with marketing and media data and platforms (Google, Adobe, SFMC)

  • Hands-on experience with real-time/streaming data architectures (Kafka, Kinesis, etc.).

  • Understanding of data science and machine learning platform integration.

  • Strong ability to collaborate across teams and verticals to drive alignment on architecture strategy.

  • Excellent communication and leadership skills to engage executives, business teams, and engineers alike.

Preferred Skills
  • Experience working in organizations with multiple brands or affiliate structures, integrating disparate data systems.

Salary Range: $160,000.00 - $165,000.00

Bonus Eligible: This position is also eligible for a discretionary company bonus, based upon business results.

Benefits: Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:

  • Health Insurance (medical, dental, and vision coverage)
  • Paid Time Off (including vacation, sick leave, and flexible holiday days)
  • 401(k) Retirement Plan with employer matching
  • Life and Disability Insurance
  • Employee Assistance Program (EAP)
  • Commuter and/or Transit Benefits (if applicable)

Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.


Skills Required

  • 10+ years of experience in data architecture, data engineering, or related fields
  • Experience designing enterprise-scale data platforms integrating multiple products and affiliates
  • Strong expertise in data modeling, ETL/ELT pipelines, and modern data warehouse or lakehouse solutions, including Databricks, Snowflake, Redshift, or BigQuery
  • Hands-on experience with cloud data platforms such as AWS, Azure, or GCP and related services
  • Knowledge of data governance, metadata management, and master data management
  • Experience with compliance and privacy regulations, including HIPAA; GDPR preferred
  • Experience in healthcare data ecosystems, including clinical data, claims data, and provider or consumer platforms
  • Hands-on experience with marketing and media data and platforms, including Google, Adobe, or SFMC
  • Hands-on experience with real-time or streaming data architectures, including Kafka or Kinesis
  • Understanding of data science and machine learning platform integration
  • Strong ability to collaborate across teams and verticals to drive alignment on architecture strategy
  • Excellent communication and leadership skills for engaging executives, business teams, and engineers
  • Experience working in organizations with multiple brands or affiliate structures and disparate data systems
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The Company
HQ: New York, NY
2,062 Employees
Year Founded: 1995

What We Do

Our Company: WebMD is a leading provider of health information services to consumers, physicians, healthcare professionals, employers and health plans. Our Business: WebMD is the leading provider of health information and services to consumers and healthcare professionals. The online healthcare information, decision-support applications and communications services that we provide: help consumers take an active role in managing their health by providing objective healthcare information and lifestyle information. make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers. enable employers and health plans to provide their employees and plan members with access to personalized heath and benefit information and decision support technology that helps them make informed benefit, provider and treatment choices.

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