Solution Architect
About The Position
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. 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.
Requirements
- 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
- 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.
Responsibilities
- 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.
Benefits
- health insurance
- dental insurance
- vision insurance
- life insurance
- disability plans
- 401(k) Plan
- paid holidays
- Parental Leave
- free time PTO policy
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What This Job Offers
Job Type
Full-time
Career Level
Senior
