Overview
On Site
BASED ON EXPERIENCE
Full Time
Skills
Employment Authorization
Blueprint
Business Strategy
Software Architecture
Roadmaps
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Generative Artificial Intelligence (AI)
Data Integrity
Accessibility
Change Data Capture
Master Data Management
Management
Relational Databases
NoSQL
Data Warehouse
Scalability
Data Retention
Lifecycle Management
Advanced Analytics
Reporting
Data Quality
Technology Assessment
IT Management
Performance Monitoring
Optimization
Data Storage
Privacy
Business Analytics
Business Analysis
Data Architecture
Data Modeling
Collaboration
Communication
Presentations
SQL
Python
Apache Hadoop
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Extract
Transform
Load
ELT
Data Integration
Database
Amazon S3
Vector Databases
Microsoft SQL Server
Oracle
Amazon Web Services
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Machine Learning (ML)
Training
Conflict Resolution
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Analytical Skill
Computer Science
Information Systems
Data Science
Agile
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Analytics
Tableau
Microsoft Power BI
Data Governance
Data Security
Regulatory Compliance
Leadership
Mentorship
Industry-specific
Data Management
Cloud Computing
Virtualization
SANS
FOCUS
Professional Services
Genetics
Law
Job Details
Role: Lead Data Architect
Location: Dallas or Houston - Hybrid
Duration: Direct Hire
Work Authorization: , , or Authorized to Work in the US
We are seeking an experienced Lead Data Architect to support and drive the overall data architecture strategy for our organization, encompassing a cloud-based data platform, lakehouse, data warehousing, and the data infrastructure required to support our growing AI, advanced analytics, and business intelligence use cases. This critical, hands-on role will be responsible for designing and building scalable, secure, and high-performance data solutions, establishing data standards, and ensuring data quality and governance for the enterprise. The ideal candidate will possess deep technical expertise in data modeling, data integration, and database technologies, coupled with strong leadership and communication skills to collaborate effectively with diverse teams and stakeholders.
Data Modeling and Design:
Data Integration and ETL/ELT Architecture:
Data Storage and Management:
Data Architecture for AI and Advanced Analytics:
Data Architecture for Business Intelligence:
Data Governance and Quality:
Technology Evaluation and Selection:
Collaboration and Communication:
Technical Leadership and Mentorship:
Performance Monitoring and Optimization:
Security and Compliance:
Preferred Qualifications:
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
Location: Dallas or Houston - Hybrid
Duration: Direct Hire
Work Authorization: , , or Authorized to Work in the US
Job Description:
We are seeking an experienced Lead Data Architect to support and drive the overall data architecture strategy for our organization, encompassing a cloud-based data platform, lakehouse, data warehousing, and the data infrastructure required to support our growing AI, advanced analytics, and business intelligence use cases. This critical, hands-on role will be responsible for designing and building scalable, secure, and high-performance data solutions, establishing data standards, and ensuring data quality and governance for the enterprise. The ideal candidate will possess deep technical expertise in data modeling, data integration, and database technologies, coupled with strong leadership and communication skills to collaborate effectively with diverse teams and stakeholders.
Key Responsibilities:
Data Architecture Strategy and Vision:
- Develop and maintain the overarching data architecture blueprint, aligning with business strategy, application architecture, and technology roadmaps.
- Define principles, standards, and guidelines for data modeling, data integration, data storage, and data access.
Data Modeling and Design:
- Lead the design and development of reusable data products that meet the needs of various use cases, including GenAI/AI/ML pipelines, and reporting/BI.
- Ensure data integrity and accessibility.
Data Integration and ETL/ELT Architecture:
- Design and oversee the implementation of robust and scalable data integration processes, including ETL/ELT pipelines, change data capture, and master data management.
- Ensure data quality, consistency, and timely delivery of data.
Data Storage and Management:
- Evaluate and select appropriate data storage technologies (e.g., relational databases, NoSQL databases, data lakes, data warehouses, vector database) based on performance, scalability, cost, and security requirements.
- Design tooling and automation to support data governance operations, including data retention policies and data lifecycle management strategies.
Data Architecture for AI and Advanced Analytics:
- Design and implement the data infrastructure required to support AI/ML initiatives, including feature stores, data pipelines for model training and inference, and access to large-scale datasets.
- Optimize data architecture for the specific needs of advanced analytical techniques.
Data Architecture for Business Intelligence:
- Ensure N-tier data products are designed and optimized to support efficient and accurate business intelligence reporting and analysis.
- Facilitate self-service BI capabilities through well-structured and governed data assets.
Data Governance and Quality:
- Collaborate with the Data Governance team to establish and enforce data governance policies, standards, and procedures.
- Design data quality frameworks, monitoring processes, and remediation strategies.
Technology Evaluation and Selection:
- Evaluate emerging data technologies and trends, providing recommendations for adoption based on business needs and architectural fit.
- Conduct proof-of-concepts and pilot projects to validate new technologies.
Collaboration and Communication:
- Partner closely with data scientists, data engineers, software engineers, business analysts, and other stakeholders to understand data requirements, translate them into architectural designs, and provide technical guidance.
- Effectively communicate complex data concepts to both technical and non-technical audiences.
Technical Leadership and Mentorship:
- Provide technical leadership and mentorship to the data management team that includes additional data architects, data analysts, data engineers, and other technical resources involved in data-related projects.
- Guide architectural decisions and ensure the quality and consistency of data solutions.
Performance Monitoring and Optimization:
- Define monitoring strategies for data pipelines and data storage systems to track performance, identify bottlenecks, and optimize resource utilization.
Security and Compliance:
- Design data architectures that adhere to security policies, compliance requirements (e.g., GDPR, CCPA), and data privacy regulations.
Qualifications Minimum Requirements:
- BA/BS plus at least 10 years of experience in data architecture, data modeling, data integration, and database technologies or demonstrated equivalency of experience and/or education
- Excellent collaboration, communication, presentation, and interpersonal skills, with the ability to effectively communicate technical concepts to diverse audiences.
- Expertise in SQL, Python, and AWS ETL tools.
- Understanding of data lake concepts and technologies (e.g., Hadoop, Spark, data lake platforms).
- Expertise designing and implementing ETL/ELT processes and data integration patterns.
- Proven experience with a variety of database technologies (e.g., AWS S3 buckets, vector databases, SQL Server, Oracle).
- Expertise in designing data architectures for cloud platforms (e.g., AWS).
- Experience in designing data solutions to support AI/ML workloads, including feature engineering and data pipelines for model training and deployment.
- Strong problem-solving and analytical skills.
Preferred Qualifications:
- Degree in computer science, Information Systems, Data Science, or a related field
- Is comfortable working in an Agile delivery model.
- Familiarity with business intelligence and analytics platforms (e.g., Tableau, Power BI).
- Solid understanding of data governance principles and practices.
- Experience in a Fortune 200 or similar large-scale enterprise environment.
- Familiarity with data security and compliance requirements.
- Demonstrated leadership experience, including the ability to guide and mentor technical teams.
- Industry-specific experience relevant to our business.
- Certifications in relevant data management or cloud technologies.
- Experience with data virtualization technologies.
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.