Solution Architect
About the Company
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. We are 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. Fractal has been featured as a Great Place to Work by The Economic Times and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Please Note: We are not offering sponsorship at this time.
About the Role
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.
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.
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
Qualifications
- 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.
Note: The job description may be subject to modification based on business requirements and evolving project needs.
Pay
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is: $160,000 - $210,000. In addition, you may be eligible for a discretionary bonus for the current performance period.
Benefits
- Health, dental, vision, life insurance, and disability plans (eligible from the first day of employment).
- Company 401(k) Plan (eligible after 30 days of employment).
- 11 paid holidays.
- 12 weeks of Parental Leave.
- Flexible PTO policy ("free time" for sick time or vacation).