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Quadrant Technologies is seeking a Data Architect to design and implement scalable data platforms across cloud environments in Dallas, TX. The role emphasizes AI-driven data solutions and data governance, with a focus on enterprise-scale architectures.
You will collaborate with data engineers, data scientists, and operations to build robust data models, pipelines, and lakehouse architectures that support Generative AI initiatives and analytics workloads.
We are seeking a Data Architect with strong experience in designing and implementing scalable data platforms and AI-driven solutions across cloud environments.
10+ years of experience in Data Engineering and Data Architecture.
Hands-on experience in Data Modeling, Data Warehousing, Lakehouse Architecture, and Data Integration.
Proficiency in SQL, Python, and PySpark.
Experience designing and implementing enterprise-scale cloud data platforms.
Understanding of AI/ML data pipelines, feature engineering, and data preparation for machine learning workloads.
Experience supporting Generative AI, LLM, or AI analytics initiatives through scalable data architecture and governed data platforms.
Knowledge of MLflow, Azure Machine Learning, Vector Data concepts, or AI data lifecycle management is preferred.
Experience with CI/CD, DevOps, and Agile delivery methodologies.
Preferred Skills
Experience in Healthcare, Insurance, or Financial Services domains.
Exposure to Snowflake and multi-cloud data platforms (AWS/GCP).
Familiarity with modern AI ecosystems, including Azure AI services and enterprise AI governance.
Quadrant Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, or any other characteristic protected by applicable federal, state, or local laws