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Sr. Database Architect
WebMD
Newark, USA
Full-time
Senior · 10+ years experience
Onsite
USD 160000-165000 yearly / year
Discovered 1 weeks ago
DatabricksSnowflakeRedshiftBigQueryKafkaKinesis
Free
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Key Skills for This Role
DatabricksSnowflakeRedshiftBigQueryKafkaKinesis
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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 reviews, 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).
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