UST · 1 day ago

Healthcare Data Architect

United States

Full-time

Remote

Mid, Senior Level

$136K/yr - $204K/yr

5+ years exp

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Responsibilities

Design and develop conceptual, logical, and physical data models for the SaaS product, taking into account the data domains, data structures, data relationships, data quality, data security, and data privacy of the product.

Define and implement data standards, policies, procedures, and best practices for data management, data quality, data security, and data privacy for the SaaS product, ensuring compliance with internal and external regulations and standards.

Lead and coordinate data integration projects across multiple data sources, platforms, and systems, using various data integration tools and techniques, such as ETL, ELT, APIs, and data pipelines, to enable data ingestion, transformation, and delivery for the SaaS product.

Establish and maintain data governance frameworks, processes, and roles for the SaaS product, to ensure data quality, consistency, accuracy, and compliance across the product lifecycle and across multiple customers and users.

Provide data architecture guidance and support to product managers, developers, data analysts, data engineers, data scientists, and other data consumers, and facilitate data discovery, access, and usage for the SaaS product.

Evaluate and recommend new and emerging data technologies, tools, and methodologies to improve data capabilities and performance for the SaaS product, and to enable data innovation and differentiation for the product.

Document and communicate data architecture designs, principles, and decisions for the SaaS product to various stakeholders, such as senior management, product teams, and technical teams.

Monitor and troubleshoot data issues and ensure data availability, reliability, and scalability for the SaaS product.

Qualification

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Data ArchitectureData ModelingData IntegrationData GovernanceData AnalyticsCloud-based ApplicationsData QualityData SecurityData PrivacyETLAPIsSQLData Modeling ToolsDAMADMBOKISOBig Data TechnologiesData PlatformsData Management Certification

Required

Bachelor's degree or higher in computer science, information systems, data science, or related field.

At least 5 years of experience in data architecture, data modeling, data integration, data governance, and data analytics, preferably for SaaS products or cloud-based applications.

Strong knowledge and skills in data modeling tools and languages, such as ERD, UML, SQL, and NoSQL, and in designing data models for SaaS products or cloud-based applications.

Proficient in data integration tools and techniques, such as ETL, ELT, APIs, and data pipelines, and in integrating data from various sources, platforms, and systems for SaaS products or cloud-based applications.

Familiar with data governance frameworks, standards, and best practices, such as DAMA, DMBOK, and ISO, and with implementing data governance for SaaS products or cloud-based applications.

Experience in working with various data platforms and systems, such as relational databases, data warehouses, data lakes, cloud services, and big data technologies, and with selecting and using the appropriate data platforms and systems for SaaS products or cloud-based applications.