

Metaphor Services
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure Data Services, Databricks, Apache Spark, and advanced SQL. Requires 8+ years in Data Engineering/Data Architecture with strong Azure and Databricks experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Milpitas, CA
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🧠 - Skills detailed
#Azure #ADLS (Azure Data Lake Storage) #Python #Data Modeling #Data Architecture #Delta Lake #Apache Spark #Spark (Apache Spark) #SQL (Structured Query Language) #Scala #Data Lakehouse #Synapse #PySpark #Databricks #Data Lake #Data Engineering #Azure Databricks
Role description
We're looking for a hands-on Data Architect with deep expertise in Azure, Databricks, and Apache Spark to design, build, and optimize enterprise-scale data platforms.
🔹 Key Skills:
✅ Azure Data Services (ADLS, Data Factory, Synapse, Event Hubs, Purview)
✅ Databricks (Delta Lake, Unity Catalog, Medallion Architecture)
✅ Apache Spark, PySpark, Scala, Python
✅ Advanced SQL & Performance Tuning
✅ Data Lakehouse & Modern Data Platform Architecture
✅ Data Modeling & Streaming Architectures
🔹 What Makes This Role Different?
• 70% hands-on development, 30% architecture
• Design solutions and build them yourself
• Optimize Spark workloads and Databricks environments
• Lead through technical expertise and code contributions
🔹 Experience:
✔ 8+ years in Data Engineering/Data Architecture
✔ Strong Azure & Databricks implementation experience
✔ Expertise in large-scale data platform design
If you're an architect who still loves coding or a senior data engineer ready to step into architecture, let's connect!
We're looking for a hands-on Data Architect with deep expertise in Azure, Databricks, and Apache Spark to design, build, and optimize enterprise-scale data platforms.
🔹 Key Skills:
✅ Azure Data Services (ADLS, Data Factory, Synapse, Event Hubs, Purview)
✅ Databricks (Delta Lake, Unity Catalog, Medallion Architecture)
✅ Apache Spark, PySpark, Scala, Python
✅ Advanced SQL & Performance Tuning
✅ Data Lakehouse & Modern Data Platform Architecture
✅ Data Modeling & Streaming Architectures
🔹 What Makes This Role Different?
• 70% hands-on development, 30% architecture
• Design solutions and build them yourself
• Optimize Spark workloads and Databricks environments
• Lead through technical expertise and code contributions
🔹 Experience:
✔ 8+ years in Data Engineering/Data Architecture
✔ Strong Azure & Databricks implementation experience
✔ Expertise in large-scale data platform design
If you're an architect who still loves coding or a senior data engineer ready to step into architecture, let's connect!






