[High Salary] Enterprise Data Architect

2 months 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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