

Senior Data Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Architect with a contract length of "unknown" and a pay rate of "unknown." Key skills include data architecture, AI, and analytics. Requires 10+ years of experience, expertise in Azure, Databricks, and enterprise data governance.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 9, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Houston, TX
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π§ - Skills detailed
#Deployment #Data Ingestion #Databricks #Data Integration #Visualization #Scala #AI (Artificial Intelligence) #Data Governance #ML (Machine Learning) #Security #SAP #Data Lake #Azure #Microsoft Azure #Data Security #Data Architecture #Data Analysis #Datasets #Compliance
Role description
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Job Title: Data Platform Architect β Data Analytics & AI
We are seeking a highly skilled Data Platform Architect with deep expertise in data analytics and AI to help evolve our enterprise data platform. This role will contribute to the development of a scalable, integrated, and future-ready reference architecture that unifies reporting, analytics, and AI/ML capabilities across the organization.
Key Responsibilities:
β’ Contribute to the design and evolution of a data platform architecture that supports analytics and AI/Generative AI use cases, covering data ingestion, processing, analytics, visualization, and consumption.
β’ Collaborate with cross-functional teams to design a unified, modular reference architecture leveraging platforms such as Cognite, Databricks, Microsoft Azure, and SAP DataSphere for seamless data integration.
β’ Apply modern data architecture principlesβincluding data lake/lakehouse and data meshβto consolidate disparate data sources into unified, actionable views.
β’ Design architecture components that support exploratory data analysis (EDA) and accelerate the development of advanced data products and AI/ML use cases.
β’ Ensure architectural compliance with enterprise data governance and data security standards.
Qualifications:
β’ Minimum 10 years of hands-on experience designing and implementing data platform architectures with a focus on AI, analytics, and Generative AI.
β’ Proven experience applying Modern Data Architecture in large enterprise environments.
β’ Practical, real-world experience in at least two of the following:
β’ Medallion architecture in lakehouse environments
β’ Data mesh implementations
β’ ML model tuning and MLOps
β’ Strong hands-on expertise with large-scale data platforms such as Cognite, Databricks, Microsoft Azure Data & Analytics Services, and SAP DataSphere.
β’ Demonstrated ability to integrate diverse data sources and design data mashup patterns for complex datasets to enable actionable insights.
β’ Deep understanding of AI/ML model development and deployment, with experience building AI-driven data products and applications.
β’ Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
β’ Experience with OT data in downstream or process manufacturing environments is a significant plus.