Enterprise Data Architect

2 days ago

Pune, India Stellar Global Solutions Full time

Responsibilities:


Data Architecture Design:

  • Develop and maintain the enterprise data architecture for healthcare systems, ensuring it aligns with business goals and regulatory requirements.
  • Create and document data models, data dictionaries, and data flow diagrams.


Data Governance:

  • Implement and enforce data governance policies and practices, ensuring data security, privacy, and compliance with healthcare industry regulations (e.g., HIPAA).


Data Integration:

  • Design and oversee the integration of various healthcare data sources, including Electronic Health Records (EHR), claims data, patient data, and other healthcare-related data.


Data Quality and Master Data Management:

  • Establish data quality standards and processes to ensure the accuracy, consistency, and completeness of healthcare data.
  • Implement master data management strategies to maintain critical data entities.


Data Analytics Support:

  • Collaborate with data scientists, analysts, and business stakeholders to provide the necessary data infrastructure and support for analytics and reporting projects.


Technology Evaluation:

  • Stay current with emerging technologies and assess their suitability for healthcare data management, ensuring optimal use of tools, platforms, and databases.


Collaboration and Communication:

  • Work closely with cross-functional teams, including IT, data science, healthcare professionals, and executives, to gather requirements and ensure alignment with data architecture.


Documentation:

  • Maintain comprehensive documentation of data architecture, data models, and integration processes.


Qualifications:

  • Bachelor’s or master’s degree in a relevant field (e.g., Computer Science, Information Technology, Data Science).
  • Proven experience as a Data Architect, preferably in a healthcare setting.
  • Experience with DBT, Python and AWS, GCP, Azure Cloud is preferred.
  • In-depth knowledge of healthcare data standards, such as HL7, ICD-10, CPT, and SNOMED.
  • Familiarity with healthcare regulations and compliance, including HIPAA.
  • Proficiency in data modeling tools, database management systems (e.g., SQL, NoSQL), and ETL processes.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Project management experience is a plus.


Requirements:

  • Experience with data warehousing, data lakes, and cloud-based data solutions.
  • Knowledge of relevant data architecture best practices and industry trends.
  • Ability to work with and lead cross-functional teams.
  • Strong attention to detail and a commitment to data quality.
  • Demonstrated ability to adapt to changing healthcare technology and data landscape.

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