Data & AI Architect

Location: Englewood, Colorado

Schedule: 2 days onsite (Tuesday & Thursday)

Type: Full-Time, Direct Hire

Salary: $130k - $175k (depending on experience)

The Data and AI Architect is responsible for designing, implementing, and optimizing the organization's data & AI solutions to ensure they support the strategic goals and operational needs of the business. This involves creating robust and reliable data solutions, implementing data governance practices, and ensuring data integrity, security, and accessibility across the organization.

Essential Functions

• Design data and AI/ML architectures to implement business strategies and roadmaps.


• Create and maintain data models that support business requirements.


• Collaborate with Data Governance and Security Leads to oversee and enhance the data governance and security protocols to protect data integrity and confidentiality.


• Work closely with cross-functional teams to understand data needs and ensure alignment with architectural standards.


• Evaluate and optimize data storage and retrieval systems to improve efficiency and performance.


• Establish and enforce data standards and best practices to ensure consistency and quality across the organization.


• Research and recommend new technologies and methodologies that can enhance data architecture and address evolving business needs.


• Other duties as required and necessary to ensure the success of the organization.

Requirements

• Expertise in creating conceptual, logical, and physical data models that accurately represent business requirements and facilitate efficient data management and AI practices, and patterns.


• Expertise in modern data architectures.


• Strong knowledge of database management systems; data warehousing, lakehouse, and data lake solutions; and data integration and wrangling tools and approaches.


• Deep expertise in SQL, Python, R, and Bash.


• Strong expertise in machine learning algorithms and approaches.


• Practical experience with AI tools.


• Knowledge of ML Ops best practices.


• Expertise in Power BI, Tableau, or similar applications for data visualization.


• Ability to implement and maintain data governance frameworks and security protocols to ensure data integrity, compliance, and protection.


• Awareness of current trends and emerging technologies that support organizational data maturity.

Education

• Bachelor's degree in computer science, data science, or relevant discipline, or equivalent skills developed through related work experience


• MS in data science or related field preferred

Experience:

• Experience in designing and implementing modern data architectures on cloud platforms, preferably on Azure


• Experience developing data architecture, strategy, and roadmaps


• Define data models, data flow diagrams, and architecture blueprints to guide the implementation of data solutions.


• Create and maintain an enterprise architecture strategy that aligns with the organization's goals for managing and leveraging internal, product, and customer data.

Architectural Design and Planning

• Lead proof-of-concept initiatives to validate technology choices.


• Design and document architecture blueprints that outline the structure and integration of data systems, applications, and technology infrastructure to support data management.


• Present complex ideas and architectural designs to various stakeholders, including business stakeholders, engineers, and executives


• Familiarity with Agile/Scrum methodologies

Technology Evaluation and Selection

• Identify, evaluate, and recommend technology solutions and platforms that enhance the organization's ability to capture, store, analyze, visualize, gain insight from, and utilize data effectively.


• Routinely assess data storage solutions, ensuring alignment with security, compliance, and performance requirements.


• Stay informed about emerging technologies and industry trends related to data management, data science and AI, and customer experience, and identify opportunities to innovate and enhance the enterprise architecture.

Integration and Interoperability

• Design scalable data integration frameworks that enable seamless data flow across diverse systems and platforms.

Data Governance and Security

• Integrate data governance tools into the data architecture, including managing ingestion processes, configuring data connections, and ensuring alignment to governance standards to maintain data quality, compliance, and security across systems.

Benefits:

We pride ourselves on providing team members from all walks of life with an inclusive work environment and comprehensive benefits package, including medical, dental, and vision coverage, life insurance, and both short- and long-term disability. We invest in our employees' growth with a 401(k) plan featuring company match, profit-sharing, and professional development opportunities. We prioritize work-life balance through a hybrid work schedule, an employee assistance program, and a generous time off package, which includes three weeks of vacation, 80 hours of sick time, and 11 paid holidays. From a flexible spending account and on-site fitness center to volunteer opportunities and tuition assistance, we are committed to giving employees a well-rounded and gratifying employment experience.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.