Principal, Enterprise Data Architect

$156,500 - $273,700/Yr

Unclassified - Irving, TX

Full-time - Senior

Irving, TX

1,001-5,000 employees

About the position

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). The Enterprise Data Architect will design, implement, and optimize our enterprise data architecture to support scalable data pipelines, governance frameworks, and high-performance analytics.

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.
• Clearly communicate technical concepts to both technical and non-technical stakeholders.

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.
• 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

• Experience with other cloud platforms and data technologies as a substitute for Azure and Databricks.

Benefits

• Comprehensive benefits plan including health insurance, dental insurance, and vision insurance.
• 401k retirement savings plan with matching contributions.
• Paid time off and paid holidays.
• Incentive eligibility based on performance.
• Opportunities for continued education and professional development.