Principal, Enterprise Data Architect

$156,500 - $273,700/Yr

Vizient - Irving, TX

Full-time - Principal

Irving, TX

Merchant Wholesalers, Nondurable Goods

About the position

The Principal, Enterprise Data Architect at Vizient, Inc. is a strategic role focused on designing, implementing, and optimizing enterprise data architecture to support scalable data pipelines and high-performance analytics. This position requires a deep understanding of data governance, advanced AI/ML ecosystems, and cloud-based solutions, with a strong emphasis on compliance and security. The architect will lead initiatives to integrate AI technologies and ensure the integrity and usability of organizational data while mentoring junior team members and collaborating with various stakeholders.

Responsibilities

• Design and implement scalable, reliable, and high-performance enterprise data architectures that align with organizational goals.
• Create and maintain a strategic roadmap for data systems, ensuring compliance with data governance, security, and regulatory requirements.
• Establish and maintain data governance frameworks that ensure the integrity, privacy, and security of organizational data.
• Lead initiatives to ensure compliance with data regulations (e.g., HIPPA).
• Oversee complex data engineering practices, including ETL/ELT processes, data pipelines, and integration strategies for real-time and batch data processing.
• Develop and maintain enterprise-wide data models, schemas, and metadata repositories to enable cross-functional access and usability.
• Architect and optimize cloud-based data solutions on platforms such as AWS, Azure, and GCP.
• Leverage Databricks to enhance data engineering workflows, ensuring scalability and efficiency in handling big data environments.
• Lead the integration of AI and ML technologies into the data infrastructure.
• Provide guidance on best practices for deploying and scaling machine learning models, including Large Language Models (LLMs).
• Continuously evaluate and optimize data systems for performance, scalability, and cost-efficiency.
• Implement innovative solutions to support advanced analytics, big data, and real-time processing needs.
• Collaborate with data scientists, software engineers, and business leaders to ensure alignment on data architecture and technical solutions.
• Provide technical leadership across the organization, promoting data-centric decision-making.
• Mentor and guide junior data architects and engineers.
• Stay ahead of emerging industry trends and technologies to continuously innovate the organization's data architecture.
• Develop comprehensive documentation for data architecture strategies, governance practices, and engineering workflows.

Requirements

• Relevant degree in Computer Science, Engineering, Management Information Systems or a related field preferred; Master's degree desired.
• 10 or more years of experience required in enterprise data architecture and data engineering.
• Proven experience in designing and implementing large-scale data solutions for cloud and hybrid environments.
• Extensive knowledge and hands-on experience working with Microsoft Azure cloud data and application technologies.
• Databricks data platform experience is strongly desired; will consider candidates with deep experience on other clouds and data platforms as a substitute.
• Knowledge of data governance, data lifecycle management, and compliance regulations (e.g., HIPPA).
• Hands-on experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms such as AWS, Azure, or GCP.
• Proficiency in SQL, Python, and other relevant programming languages.
• Experience with data warehousing, data lakes, and advanced analytics tools.
• Familiarity with AI/ML ecosystems and the ability to support their integration within the data infrastructure.
• Strong leadership and mentoring skills, with a proven track record of guiding teams through complex technical challenges.
• Excellent analytical and problem-solving abilities, with a focus on innovative and effective solutions.
• Strong written and verbal communication skills with the ability to convey complex technical concepts to diverse audiences.
• Certifications in relevant technologies or methodologies (Azure, Databricks) is highly desirable.

Nice-to-haves

• Certifications in relevant technologies or methodologies (Azure, Databricks) is highly desirable.

Benefits

• Comprehensive benefits plan including health insurance, dental insurance, and vision insurance.
• 401(k) retirement savings plan with company matching.
• Paid time off and holidays.
• Professional development opportunities and tuition reimbursement.
• Incentive eligibility based on performance.