| Principal Data Architect (Clinical Research CRO or Life Sciences Domain) at Remote, Remote, USA |
| Email: [email protected] |
| From: Nitya, Nitya software solution [email protected] Reply to: [email protected] Role: Principal Data Architect (Clinical Research CRO / Life Sciences Domain) Location: USA Remote C2C Position Overview We are seeking a highly skilled and experienced Principal Data Architect to join our Technical Domain Architecture team within the Architecture Group of our Global Data Organization. The Principal Data Architect will play a pivotal role in designing, managing, and optimizing our data architecture to support the Clients strategic objectives. This individual will work closely with cross-functional teams to ensure the scalability, reliability, and performance of our data infrastructure, enabling data-driven decision-making across the enterprise. The ideal candidate will have extensive experience in Data platform design and development, a deep understanding of software architecture principles, and a strong background in cloud services and loosely coupled architectures. Essential Functions: Clinical Data Lake Develop and maintain comprehensive data architecture strategies tailored to the unique needs of Clinical and Operational data management. Define and implement data models, schemas, and integration frameworks to ensure the integrity and accessibility of clinical data. Data replication from variety of internal and external data sources into Snowflake Data Warehouse Raw layer. Integrate disparate clinical systems, applications, and data sources to enable interoperability and data exchange across the life sciences ecosystem. Develop APIs, interfaces, and middleware solutions for seamless communication between clinical software systems and databases. Ensure compatibility and compliance with industry standards such as CDISC, SDTM, ODM, HL7, FHIR, and others. Monitor compliance with healthcare regulations such as HIPAA, GDPR, and other data privacy laws, and implement measures to address potential risks and vulnerabilities. Design and Development: Implement data architecture solutions using modern technologies and platforms, such as cloud-based data warehouses (e.g., Snowflake, Databricks, AWS Redshift, etc.). Establish data management frameworks, standards, and best practices for data governance, quality, and security. Author and maintain data standards and best practices documentation to ensure consistency and adherence across the organization. Lead all data engineering tasks and implement data pipelines, ETL processes to ingest, transform, and load clinical data from various sources into the data infrastructure. Optimize data workflows and performance through automation, parallel processing, and data partitioning techniques. Collaborate with data scientists and analysts to support advanced analytics, machine learning, and predictive modeling initiatives. Implement security controls, encryption mechanisms, and access management policies to protect sensitive data from unauthorized access, breaches, and cyber threats. Clinical Systems Understanding of Clinical systems and processes Skills Expertise in database design, data modeling, and data integration techniques. Strong command in ETL and Data Integration tools like Talend, AWS Glue, streaming technologies (STRIIM), virtualization (Denodo etc) Experience with Master Data Management (MDM) tools Informatica MDM Experience with Snowflake Cloud Data Warehouse Platform is required: Experience using Snowflake capabilities such as Snowpipes, Tasks, Streams, Stored Procedures, Data Replication. Must have CI/CD experience Demonstrated leadership skills, including guiding technical teams, offering mentorship, and influencing architectural decisions. Demonstrated commitment to staying current with the latest trends, technologies, and best practices in the data and analytics field. Relevant certifications in cloud computing and data analytics tools/platforms are advantageous. Required Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field. 10+ years of relevant experience working in in data architecture, engineering roles or related roles within a healthcare industry. Preferred 7+ years experience in Life Sciences industry Master of Science degree in Computer Science, Information Systems, Data Science, or a related field. Advanced Analytics experience Experience of clinical systems EDC, IVR, CTMS, etc. Keywords: continuous integration continuous deployment Principal Data Architect (Clinical Research CRO or Life Sciences Domain) [email protected] |
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| Tue Jul 02 19:23:00 UTC 2024 |