Responsibilities:
What you will do:
-Design and implement enterprise data architecture frameworks that support the integration, storage, and analysis of healthcare data.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
- Develop and maintain data models, data flow diagrams, and data dictionaries to ensure data integrity and accessibility.
- Ensure compliance with healthcare data standards (e.g., HL7, FHIR, DICOM) and regulations (e.g., HIPAA, GDPR).
- Lead the evaluation and selection of data management tools, technologies, and platforms.
- Oversee the migration and integration of data from legacy systems to modern platforms.
- Establish data governance policies and procedures to ensure data quality, security, and privacy.
- Provide technical leadership and mentorship to data engineering and analytics teams.
- Stay current with emerging trends and advancements in healthcare data architecture and technology.
Required Experience:
Technical Expertise:
- Proficiency in data modelling, database design, and data warehousing.
- Strong knowledge of SQL, NoSQL, and cloud-based data platforms (e.g., OCI, AWS, Azure, Google Cloud).
- Experience with ETL tools and data integration techniques.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and machine learning frameworks.
- Understanding of healthcare data standards (e.g., HL7, FHIR, DICOM) and terminologies (e.g., SNOMED, LOINC).
Industry Knowledge:
- In-depth understanding of healthcare data regulations (e.g., HIPAA, GDPR) and compliance requirements.
- Experience working with electronic health records (EHR), clinical data, and patient data.
Leadership and Communication:
- Proven ability to lead cross-functional teams and manage complex projects.
- Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
- Strong problem-solving and decision-making abilities.
Analytical Skills:
- Ability to analyze complex data sets and identify trends, patterns, and insights.
- Experience with data visualization tools (e.g., SAS, Tableau, Power BI) is essential
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