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Brilliant® · 1 day ago

Data Architect

Kansas City, MO

Contract

Hybrid

Senior Level

$175K/yr - $200K/yr

Brilliant® is seeking a Data Architect to define and drive the organization's overall vision, data strategy, and architecture. The role involves establishing data governance policies, designing data infrastructure for AI workloads, and ensuring compliance with data protection regulations.

Staffing & Recruiting

Growth Opportunities

Responsibilities

Define and drive the organization's overall vision, data strategy, roadmap, and architecture vision. This includes the data AI architecture vision, strategy, and roadmap. This includes the design of 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 all relevant regulations (e.g., GDPR, CCPA). Lead the 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 across business units to establish clear roles, responsibilities, and accountability for data assets

Establish clear rules and policies governing the responsible usage of data within AI and ML models, including documentation of data lineage for model training. Design data infrastructure specifically optimized for AI workloads, including data pipelines for machine learning models, and architect solutions for large language models (LLMs). Develop bias mitigations strategies to ensure diverse and representative datasets to prevent AI biases,and architect monitoring systems for model drift

Evaluate, recommend, and select appropriate data management technologies, including cloud platforms (e.g., 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

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 in security architecture and develop remediation plans

Ensure the data architecture and its supporting systems are compliant with internal policies and external data protection regulations

Design and maintain conceptual, logical, and physical data models for transactional and analytical systems

Oversee the development of database schemas, metadata management, and data cataloging efforts to improve data discoverability and understanding

Define and standardize data architecture components, including storage solutions (data lakes, warehouses, etc.), data pipelines, and integration patterns

Evaluate and recommend new data technologies, tools, and platforms that align with the organization's strategic needs

Design and implement a robust data security architecture, including controls for access management, encryption, and data masking to protect sensitive information

Create and manage an organization-wide data classification scheme based on data sensitivity and importance (e.g., public, internal, confidential, restricted)

Implement technical controls and processes to automatically classify and tag data assets, ensuring proper handling and security

Collaborate with business and legal teams to define and apply data classification rules consistently

Provide technical guidance and mentorship to data engineers, analysts, developers, and other IT teams on best practices for data management and security

Work closely with business stakeholders to understand their data requirements and translate them into effective architectural solutions

Foster a data-centric culture across the organization, promoting awareness and understanding of data governance principles

Qualification

Data GovernanceData ArchitectureCloud PlatformsData SecurityData ModelingData IntegrationData ClassificationTechnical GuidanceTeam Collaboration

Required

Define and drive the organization's overall vision, data strategy, roadmap, and architecture vision

Establish and enforce data governance policies and standards to ensure data quality, consistency, and compliance with all relevant regulations (e.g., GDPR, CCPA)

Lead the 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 across business units to establish clear roles, responsibilities, and accountability for data assets

Establish clear rules and policies governing the responsible usage of data within AI and ML models

Design data infrastructure specifically optimized for AI workloads, including data pipelines for machine learning models

Architect solutions for large language models (LLMs)

Develop bias mitigations strategies to ensure diverse and representative datasets to prevent AI biases

Architect monitoring systems for model drift

Evaluate, recommend, and select appropriate data management technologies, including cloud platforms (e.g., AWS, Azure, GCP), storage solutions, and governance tools

Architect complex data integration patterns to connect disparate data sources across the organization