Lead Azure Architect

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

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.

Fractal | Intelligence for Imagination

Location
:
Dallas, Texas (Client onsite)
Note: This position is not eligible for Immigration Sponsorship currently.

Fractal is seeking an experienced Lead Azure Architect with experience in Azure core technologies - Azure Data Lake Storage, Azure Data Lake Analytics, Azure Cosmos, Azure Data Factory, Azure SQL Database, Azure HDInsight, Azure Databricks, SQL data warehouse (Synapse) and LLMs.

• Translate functional requirements into technical design
• Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfil the technical design
• Architect on Azure platform to meet client specific functional and non-functional requirements
• Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision.
• Participate in the creation and sharing of best practices, technical content, and new reference architectures.
• Preparing and answering RFPs, RFIs and RFQs
• Oversee design and solution architecture to ensure standards are followed, codebase is modular and scalable
• Estimate effort using a parametric estimation model and bring all stakeholders on-board about the overall schedule, and dependencies
• Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
• Design, Develop and Deliver data provisioning interfaces to fulfil consumption needs
• Deliver data models on Azure platform, it could be on Azure Cosmos, SQL DW / Synapse or SQL
• Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
• Automate core activities to minimize the delivery lead times and improve the overall quality
• Optimize platform cost by selecting right platform services and architecting the solution in a cost-effective manner
• Deploy Azure Dev Ops and CI CD processes
• Deploy logging and monitoring across the different integration points for critical alerts

• 10+ years of software development experience
• Translated complex analytical requirements into technical design including data models, ETLs and Dashboards / Reports
• Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases.
• Dbt core or dbt cloud experience.
• Data vault 2.0 implementation experience with  package.
• Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
• Successfully delivered large scale data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
• Strong knowledge of continuous integration, static code analysis and test-driven development
• Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
• Must have Excellent analytical and problem-solving skills
• Delivered change management initiatives focused on driving data platforms adoption across the enterprise.
• Experience working on APIs, ADFs, Python and Spark.
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations.

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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Fractal, it is not typical for an…