Azure Lead Architect

Its fun to work in a company where people truly BELIEVE in what they are doing!

Were committed to bringing passion and customer focus to the business.

Brief About Fractal

Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500® companies. Fractals vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the worlds most admired companies.

Fractal currently has 4500+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as Great Workplace and Indias Best Workplaces for Women in the top 100 (large) category by The Great Place to Work® Institute; featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an Honorable Vendor in 2022 Magic Quadrant

Job Description

• Detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value.
• Design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
• Participate in early state design and feature definition activities.
• Responsible for implementing robust data pipeline using Microsoft Azure stack.
• Responsible for creating reusable and scalable data pipelines.
• Understanding of RCA process.
• Monitoring and managing data ingestion and processing workloads through technologies mentioned above.
• Eye for detail to identify areas of improvements in existing solutions.
• Strong communication and articulation. Constant connects with business and other stakeholders is important.
• Proactive issue identification and resolution.
• Troubleshooting issues, providing work around and permanent fixes.
• Managing and tracking incidents and SRs.
• Developing innovative automation solutions and reduce manual intervention.
• Building complex data ingestion workloads, solution design improvements, optimization of processes and supporting ad-hoc requests.
• Advanced working knowledge and experience with relational and non-relational databases.
• Experience building and optimizing big data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
  
  
  

• Azure Data Factory
• Azure Databricks (Python, Pyspark, Spark SQL)
• Azure Storage Account
• Azure Logic Apps (good to have)
• Azure SQL Server
• Azure Synapse
• Eventhub
• Azure DevOps experience to deploy the ADF pipelines