Data Architect

7 days ago

Taguig, National Capital Region, Philippines St. Luke's Medical Center Full time $90,000 - $120,000 per year

The
Data Architect
will focus on designing secure and scalable healthcare data architectures using cloud platforms while ensuring alignment with clinical and operational goals. He/she will be involved in implementing governance frameworks, maintaining regulatory compliance, and enabling interoperability through industry standards like HL7 and FHIR. He/she will optimize data

pipelines, maintain data quality, and collaborating with stakeholders to meet evolving healthcare data needs.

Key Functions:

  • Design and implement scalable, secure, and resilient healthcare data architectures using cloud platforms such as GCP, AWS, or Azure.
  • Establish and uphold enterprise-level data architecture principles, standards, and governance frameworks to support both clinical and operational needs.
  • Create comprehensive models for structured, semi-structured, and unstructured data, ensuring consistency with the MVP's Key Data Elements (KDEs).
  • Work closely with stakeholders to gather data requirements, develop strategic data approaches, and convert business objectives into technical solutions.
  • Develop and enforce healthcare data governance policies to ensure compliance with HIPAA and other applicable regulations (e.g., GDPR), safeguarding data privacy and security across the entire data lifecycle.
  • Oversee the integration of new data sources and use cases, ensuring alignment with existing data architecture and governance protocols.
  • Document complete data lineage and incorporate metadata management and data quality standards into architectural designs.
  • Promote interoperability among healthcare systems (e.g., EHRs, LIS, PACS) by aligning data architecture with industry frameworks such as HL7, FHIR, and DICOM.
  • Identify and recommend suitable technologies for data storage, integration, transformation, and visualization based on business needs and compliance requirements.
  • Guide Data Engineers in building data pipelines and optimizing them for both batch and real-time processing.
  • Continuously assess and improve technology stacks for data infrastructure.
  • Implement performance monitoring systems to ensure the efficiency and reliability of data operations.
  • Performs other tasks and duties as may be assigned/ delegated by the superiors.

Qualifications:

  • 10 years of experience, with 3-5 years specifically focused on data warehouses, databases, and other data-related fields.
  • BigQuery, Dataproc, Dataflow, Glue, Redshift).
  • Strong understanding of relational and NoSQL database technologies (e.g., PostgreSQL, MongoDB).
  • Proficient in data modelling techniques, including conceptual,logical, and physical data models.
  • Experience designing and implementing data lakes, data warehouses, and lakehouse solutions.
  • Deep understanding of data governance frameworks and tools (e.g., Collibra, Alation, Informatica).
  • Strong understanding of data architecture frameworks and design patterns.
  • Experience embedding data lineage, data quality, and master data management into architectural design.
  • Expert in data modeling techniques (dimensional, relational, etc.) and schema design.
  • Strong understanding of data security principles and best practices in a cloud environment.
  • Familiarity with handling PHI/PII data in a compliant and secure manner. Strong leadership, communication, and stakeholder management skills to drive alignment across business and technical teams.

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