Brilliant®
Data Architect
Contract to hire
Compensation: $175,000 – $200,000
Remote/Hybrid: Onsite
Location: Kansas City
Responsibilities
Define and drive the organization's overall vision, data strategy, roadmap, and architecture vision, including the data AI architecture vision and roadmap.
Design scalable data lakes, data warehouses, and data fabric architectures.
Establish and enforce data governance policies and standards to ensure data quality, consistency, and compliance with regulations such as GDPR and CCPA.
Lead implementation of a comprehensive data governance framework, including data quality management, data lineage tracking, and master data management (MDM).
Collaborate with data owners and stewards to establish clear roles, responsibilities, and accountability for data assets.
Establish rules and policies governing responsible usage of data within AI and ML models, documenting data lineage for model training.
Design data infrastructure optimized for AI workloads, including pipelines for machine learning models and architectures for large language models (LLMs).
Develop bias mitigation strategies to ensure diverse and representative datasets and architect monitoring systems for model drift.
Evaluate, recommend, and select appropriate data management technologies, including cloud platforms (AWS, Azure, GCP), storage solutions, and governance tools.
Architect complex data integration patterns to connect disparate data sources across the organization, ensuring seamless data flow and a unified data view.
Data Security & Privacy
Design and implement a robust data security architecture to protect sensitive data from unauthorized access, breaches, and corruption.
Develop security protocols such as encryption, access controls (IAM), and masking techniques to safeguard data in transit and at rest.
Conduct regular security audits and vulnerability testing to identify gaps and develop remediation plans.
Ensure the data architecture and supporting systems comply with internal policies and external data protection regulations.
Data Modeling & Management
Design and maintain conceptual, logical, and physical data models for transactional and analytical systems.
Oversee development of database schemas, metadata management, and data cataloging efforts to improve discoverability and understanding.
Define and standardize data architecture components, including storage solutions, data pipelines, and integration patterns.
Evaluate and recommend new data technologies, tools, and platforms aligned with strategic needs.
Data Classification
Design and implement controls for access management, encryption, and data masking to protect sensitive information.
Create and manage an organization-wide data classification scheme based on sensitivity and importance.
Implement technical controls and processes to automatically classify and tag data assets.
Collaborate with business and legal teams to define and consistently apply classification rules.
Team Collaboration & Leadership
Provide technical guidance and mentorship to data engineers, analysts, developers, and other IT teams.
Work closely with business stakeholders to understand data requirements and translate them into effective architectural solutions.
Foster a data‑centric culture across the organization, promoting awareness of data governance principles.
Seniority level Not Applicable
Employment type Contract
Job function Engineering and Information Technology
Industries Staffing and Recruiting
#J-18808-Ljbffr
Compensation: $175,000 – $200,000
Remote/Hybrid: Onsite
Location: Kansas City
Responsibilities
Define and drive the organization's overall vision, data strategy, roadmap, and architecture vision, including the data AI architecture vision and roadmap.
Design scalable data lakes, data warehouses, and data fabric architectures.
Establish and enforce data governance policies and standards to ensure data quality, consistency, and compliance with regulations such as GDPR and CCPA.
Lead implementation of a comprehensive data governance framework, including data quality management, data lineage tracking, and master data management (MDM).
Collaborate with data owners and stewards to establish clear roles, responsibilities, and accountability for data assets.
Establish rules and policies governing responsible usage of data within AI and ML models, documenting data lineage for model training.
Design data infrastructure optimized for AI workloads, including pipelines for machine learning models and architectures for large language models (LLMs).
Develop bias mitigation strategies to ensure diverse and representative datasets and architect monitoring systems for model drift.
Evaluate, recommend, and select appropriate data management technologies, including cloud platforms (AWS, Azure, GCP), storage solutions, and governance tools.
Architect complex data integration patterns to connect disparate data sources across the organization, ensuring seamless data flow and a unified data view.
Data Security & Privacy
Design and implement a robust data security architecture to protect sensitive data from unauthorized access, breaches, and corruption.
Develop security protocols such as encryption, access controls (IAM), and masking techniques to safeguard data in transit and at rest.
Conduct regular security audits and vulnerability testing to identify gaps and develop remediation plans.
Ensure the data architecture and supporting systems comply with internal policies and external data protection regulations.
Data Modeling & Management
Design and maintain conceptual, logical, and physical data models for transactional and analytical systems.
Oversee development of database schemas, metadata management, and data cataloging efforts to improve discoverability and understanding.
Define and standardize data architecture components, including storage solutions, data pipelines, and integration patterns.
Evaluate and recommend new data technologies, tools, and platforms aligned with strategic needs.
Data Classification
Design and implement controls for access management, encryption, and data masking to protect sensitive information.
Create and manage an organization-wide data classification scheme based on sensitivity and importance.
Implement technical controls and processes to automatically classify and tag data assets.
Collaborate with business and legal teams to define and consistently apply classification rules.
Team Collaboration & Leadership
Provide technical guidance and mentorship to data engineers, analysts, developers, and other IT teams.
Work closely with business stakeholders to understand data requirements and translate them into effective architectural solutions.
Foster a data‑centric culture across the organization, promoting awareness of data governance principles.
Seniority level Not Applicable
Employment type Contract
Job function Engineering and Information Technology
Industries Staffing and Recruiting
#J-18808-Ljbffr