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# Solution Architect

- **Company:** Fractal Analytics
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $160,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Microsoft Azure, Cloud Engineering, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Key Management, SQL Azure, Performance Tuning, Azure Active Directory, Standard Sql, Azure Data Lake, Data Streaming, Unstructured Data, Azure Service Bus, Cloud Platform System, Azure Data Factory, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Data Management, Cloud Migration, Terraform, Stream Processing, Azure Synapse Analytics, Serverless Computing, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=812c613e05e7cfce

## About the Role

* Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
 * 10+ years of experience in Data Engineering, Cloud Architecture, or Solution Architecture.
 * 5+ years of hands-on experience with Azure cloud services.
 * 4+ years of hands-on experience with Databricks and Spark-based solutions.
 * Strong experience designing enterprise-scale data platforms.
 * Experience working with large-scale structured and unstructured datasets.
 * Excellent stakeholder management and client-facing communication skills.

## Description

We are seeking an experienced Solution Architect with strong expertise in Microsoft Azure, Databricks, and modern Data & AI platforms to design and deliver scalable, secure, and high-performing enterprise data solutions. The ideal candidate will work closely with business stakeholders, engineering teams, and clients to define architecture strategies, establish best practices, and drive successful implementation of cloud-based data platforms., * Architect end-to-end data and analytics solutions on Azure and Databricks.

 * Design scalable data platforms supporting batch, streaming, and real-time analytics workloads.
 * Lead solution design discussions, architecture reviews, and technical governance.
 * Define data lake, data warehouse, lakehouse, and data mesh architectures.
 * Collaborate with business stakeholders to translate requirements into technical solutions.
 * Establish security, governance, and compliance standards across the platform.
 * Design data integration frameworks using Azure-native services and Databricks.
 * Drive performance optimization, cost management, and cloud modernization initiatives.
 * Provide technical leadership and mentoring to engineering teams.
 * Support proposal development, effort estimation, and client presentations.
 * Ensure adherence to enterprise architecture standards and best practices.

Required Technical Skills

Azure Cloud

 * Azure Data Factory (ADF)
 * Azure Databricks
 * Azure Data Lake Storage (ADLS Gen2)
 * Azure Synapse Analytics
 * Azure SQL Database
 * Azure Event Hub
 * Azure Service Bus
 * Azure Functions
 * Azure Key Vault
 * Azure Monitor
 * Microsoft Entra ID (Azure AD)

Databricks

 * Databricks Lakehouse Architecture
 * Delta Lake
 * Unity Catalog
 * Databricks Workflows
 * Structured Streaming
 * Medallion Architecture
 * Cluster Optimization and Performance Tuning

Data Engineering

 * Python
 * PySpark
 * SQL
 * Data Modeling
 * ETL/ELT Frameworks
 * Data Warehousing Concepts
 * Real-time Data Processing

DevOps & Automation

 * Azure DevOps
 * CI/CD Pipelines
 * Infrastructure as Code (Terraform preferred)
 * Git Version Control


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