Vizient
Principal, Enterprise Data Architect
Vizient, Chicago, Illinois, United States, 60290
When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.Summary:We are seeking an experienced Enterprise Data Architect to join our dynamic team. This role requires a strategic thinker with a passion for data-driven innovation, advanced AI/ML ecosystems, and Large Language Models (LLMs).In this role, you will design, implement, and optimize our enterprise data architecture to support scalable data pipelines, governance frameworks, and high-performance analytics.ResponsibilitiesDesign 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), to ensure seamless collaboration between data and AI initiatives.
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. Clearly communicate technical concepts to both technical and non-technical stakeholders, ensuring the alignment of data architecture with business goals.
QualificationsRelevant 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.
Applicant must be authorized to work in the United States without sponsorship.
#LI-TR1Estimated Hiring Range:At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $156,500.00 to $273,700.00.
This position is also incentive eligible.Vizient has a comprehensive benefits plan! Please view our benefits here:http://www.vizientinc.com/about-us/careersEqual Opportunity Employer: Females/Minorities/Veterans/Individuals with DisabilitiesThe Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.
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), to ensure seamless collaboration between data and AI initiatives.
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. Clearly communicate technical concepts to both technical and non-technical stakeholders, ensuring the alignment of data architecture with business goals.
QualificationsRelevant 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.
Applicant must be authorized to work in the United States without sponsorship.
#LI-TR1Estimated Hiring Range:At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $156,500.00 to $273,700.00.
This position is also incentive eligible.Vizient has a comprehensive benefits plan! Please view our benefits here:http://www.vizientinc.com/about-us/careersEqual Opportunity Employer: Females/Minorities/Veterans/Individuals with DisabilitiesThe Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.