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Octal Philippines

Data Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeQuezon City, Metro Manila, PhilippinesNo salary listedIn-person

About the Job

Requirements

  • Expertise in cloud-native data services and architectures, including BigQuery, Dataproc, Dataflow, Glue, and Redshift.
  • Strong understanding of relational and NoSQL database technologies, including PostgreSQL and MongoDB.
  • Proficiency in conceptual, logical, and physical data modeling techniques.
  • Experience designing and implementing data lakes, data warehouses, and lakehouse solutions.
  • Deep understanding of data governance frameworks and tools, including Collibra, Alation, and Informatica.
  • Strong understanding of data architecture frameworks and design patterns.
  • Experience embedding data lineage, data quality, and master data management into architectural design.
  • Expertise in dimensional and relational data modeling techniques and schema design.
  • Strong understanding of data security principles and best practices in a cloud environment.
  • Familiarity with handling PHI/PII data securely and in compliance with applicable requirements.
  • Leadership, communication, and stakeholder management skills to align business and technical teams.
  • Ability to navigate complex enterprise landscapes and influence decision-making at executive levels.
  • Ability to proactively address technical debt, scalability bottlenecks, and architectural weaknesses as the data architecture evolves with business needs.

Responsibilities

  • 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 for 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 with stakeholders to gather data requirements, develop strategic data approaches, and translate business objectives into technical solutions.
  • Develop and enforce healthcare data governance policies to ensure compliance with HIPAA, GDPR, and other applicable regulations, safeguarding data privacy and security throughout the data lifecycle.
  • Oversee 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, including EHRs, LIS, and PACS, by aligning data architecture with HL7, FHIR, and DICOM.
  • Identify and recommend technologies for data storage, integration, transformation, and visualization based on business needs and compliance requirements.
  • Guide Data Engineers in building and optimizing data pipelines for batch and real-time processing.
  • Continuously assess and improve technology stacks for data infrastructure.
  • Implement performance monitoring systems to ensure efficient and reliable data operations.
  • Perform other tasks and duties as assigned or delegated by superiors.

About the Company

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