Principal Data Architect

Global Technology Organization – Architecture and Standards: Within IQVIA’s Global Technology and Operations function, the Architecture & Standards organization’s mission is to enhance efficiency, speed, quality, interoperability and alignment of IQVIA’s technology by establishing “the IQVIA way.” Our vision is to foster a developer-first culture that promotes collaboration across siloed software development and other technology teams.

Technical Architecture Team: The Technical Domain Architecture team consists of hands-on engineers with expertise in various technical domains.  They define and maintain IQVIA architecture standards and reference architectures, build reference implementations and provide guidance to engineering teams during the technical design committee process.  In addition, technical architects will lead agile guilds for their domain – communities of practice that share technical knowledge across IQVIA’s federated engineering teams.

The Position’s Overview/Elevator Pitch: We are seeking a highly skilled and experienced Principal Data Architect to join our Technical Domain Architecture team within the Architecture and Standards Group of our Global Technology Organization. The Principal Data Architect will play a pivotal role in designing, managing, and optimizing our data architecture to support the organization’s 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:

• Authoring Data Standards and Best Practices:
  • Develop and document comprehensive data standards, guidelines, and best practices to ensure data quality, consistency, and security across the organization.
  • Ensure all data architecture documentation is up-to-date and accessible to relevant stakeholders.
  • Provide training and support to teams on adhering to established data standards and best practices.

• Collaboration and Leadership:
  • Work collaboratively with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Lead and mentor data engineers, providing guidance on architectural best practices and data management techniques.
  • Serve as a subject matter expert in data architecture, contributing to strategic planning and decision-making processes.

• Innovation and Continuous Improvement:
  • Stay current with emerging trends and technologies in data architecture, big data, and analytics.
  • Drive innovation by recommending and implementing new tools, technologies, and methodologies to enhance the organization’s data capabilities.
  • Continuously evaluate and improve data architecture practices to ensure alignment with industry standards and best practices.

• 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.).
  • Contribute to the design of the Internal Developer Portal (DevIQ) related to API Ingestion, Storage and Mastering.
  • 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.

• Collaboration and Leadership:
  • Work collaboratively with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Lead and mentor data engineers, providing guidance on architectural best practices and data management techniques.
  • Serve as a subject matter expert in data architecture, contributing to strategic planning and decision-making processes.

Qualifications:

• Minimum of 10 years of experience in software development and architecture.
• Proven experience as a Data Architect or in a similar role within a global technology organization.
• Strong knowledge of data modeling, data warehousing, and data integration techniques.
• Proficiency in modern data technologies and platforms, such as SQL, NoSQL, ETL tools, cloud data warehouses, and big data technologies.
• Experience with data governance, data quality, and data security practices.
• Excellent problem-solvin