

Programmers.io
Data Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Cloud Data Architect in San Jose, CA, with a 7+ years data engineering background, including 3+ years in cloud architecture. Requires strong Azure skills, data lakehouse architecture, and expertise in Python, SQL, and data governance.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
August 13, 2026
π - Duration
Unknown
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ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
San Jose, CA
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π§ - Skills detailed
#AI (Artificial Intelligence) #Physical Data Model #Computer Science #Visualization #Data Management #S3 (Amazon Simple Storage Service) #Synapse #Metadata #Databricks #Documentation #Data Engineering #Data Modeling #Data Lake #Spark (Apache Spark) #Schema Design #Data Lineage #Data Pipeline #SQL (Structured Query Language) #Observability #Dataflow #Data Governance #Data Architecture #Python #Data Lakehouse #Azure #Collibra #Cloud
Role description
Senior Cloud Data Architect β
San Jose, CA
Role Summar
yThe Senior Cloud Data Architect is a hands-on individual contributor responsible for designing and optimizing Azure-based cloud data architectures supporting analytics, AI, and enterprise intelligence. The ideal candidate should have 7+ years of experience in data engineering/architecture, including 3+ years in cloud data architecture, with strong expertise in Azure Data Lake, Data Factory, Synapse, Databricks, Spark, Python, and SQL
.The role focuses heavily on data lakehouse/warehouse architecture, metadata management, data governance, lineage, schema design, and data modeling. Candidates should have experience with tools such as Unity Catalog, Microsoft Purview, Collibra, or DataHub, along with hands-on experience designing distributed data pipelines, optimizing performance and cost, and implementing CI/CD, observability, and schema evolution
.The candidate must also be strong in architecture documentation and visualization, including data-flow diagrams, logical/physical data models, system blueprints, and architecture decision documentation using tools such as Visio, Lucidchart, or Draw.io
.
Must-Have Requirement
β’ sBachelorβs degree in Computer Science β strict requiremen
β’ t7+ years in data engineering, data architecture, or enterprise analytic
β’ s3+ years of cloud data architectur
β’ eStrong Azure experienc
β’ eAzure Data Lake, Data Factory, Synapse, Databrick
β’ sSpark / distributed data processin
β’ gPython + SQ
β’ LData modeling, schema design, and metadata managemen
β’ tData lineage and governanc
β’ eArchitecture diagrams/documentatio
β’ nHands-on data pipeline development and optimizatio
n
Senior Cloud Data Architect β
San Jose, CA
Role Summar
yThe Senior Cloud Data Architect is a hands-on individual contributor responsible for designing and optimizing Azure-based cloud data architectures supporting analytics, AI, and enterprise intelligence. The ideal candidate should have 7+ years of experience in data engineering/architecture, including 3+ years in cloud data architecture, with strong expertise in Azure Data Lake, Data Factory, Synapse, Databricks, Spark, Python, and SQL
.The role focuses heavily on data lakehouse/warehouse architecture, metadata management, data governance, lineage, schema design, and data modeling. Candidates should have experience with tools such as Unity Catalog, Microsoft Purview, Collibra, or DataHub, along with hands-on experience designing distributed data pipelines, optimizing performance and cost, and implementing CI/CD, observability, and schema evolution
.The candidate must also be strong in architecture documentation and visualization, including data-flow diagrams, logical/physical data models, system blueprints, and architecture decision documentation using tools such as Visio, Lucidchart, or Draw.io
.
Must-Have Requirement
β’ sBachelorβs degree in Computer Science β strict requiremen
β’ t7+ years in data engineering, data architecture, or enterprise analytic
β’ s3+ years of cloud data architectur
β’ eStrong Azure experienc
β’ eAzure Data Lake, Data Factory, Synapse, Databrick
β’ sSpark / distributed data processin
β’ gPython + SQ
β’ LData modeling, schema design, and metadata managemen
β’ tData lineage and governanc
β’ eArchitecture diagrams/documentatio
β’ nHands-on data pipeline development and optimizatio
n






