Job description

Job title : Azure Data Architect Location: Collegeville or Philadelphia, Pennsylvania Duration: 6 Months Customer is looking for Pure Hands-on Azure Data Architect who recently implemented 2 Azure Projects. Required Role Expectation: Extensive experience (10+ years) in data engineering, data governance, or cloud data architecture. • Ability to architect end-to-end solutions should be able to share screen and whiteboard during the interview • Work closely with data scientists, engineers, business stakeholders, and cloud teams to translate business requirements into technical solutions. • Lead teams, provide mentorship, and guide architectural best practices like Medallion architecture data design pattern and modern lake house implementation. • Monitor cloud data solutions for performance, scalability, and cost, implementing optimizations to reduce cloud spend and improve efficiency. Required Tech Skills • Azure Certification is Mandate • Strong skills in SQL, Python, Spark, and Azure cloud environment. • Designed and maintained conceptual, logical, and physical data models using Erwin. • Hands-on expertise with Databricks platform, Unity Catalog, Delta Lake, and Lakehouse architecture and streaming platforms like Kafka. • Azure Cloud Proficiency: • Strong knowledge of Azure services, particularly: • Azure Virtual Machines, Azure Storage, Azure Networking. • Azure Data Factory, Azure Data Lake, Azure Synapse. • Azure Logic Apps, Azure Function App, Event Grid (for integration). • Experience with Azure Resource Manager (ARM) templates or Terraform for infrastructure provisioning. • Data Integration and Migration: • Proficiency in data integration techniques and tools. • Experience with ETL (Extract, Transform, Load) processes. • DevOps and CI/CD: • Understanding of DevOps principles and practices. • Experience with CI/CD pipelines using tools like Azure DevOps, Jenkins, or similar. • Scripting and Automation: • Build Testing and Validation Strategy • Familiarity in scripting languages like PowerShell or Python. Good to Have: • Designing and Implementing Conversational Interfaces(Conversational BI), Data Preparation and Management, Natural Language Processing (NLP) and Query Handling • Proficiency in programming languages such as Java, or JavaScript, Python • Knowledge in BI tools (e.g., Power BI, Tableau, ThoughtSPot, LookerStudio), and data querying languages like SQL • Strong understanding of NLP, machine learning, AI frameworks , Generative AI and large language models (LLMs). • Understanding of Azure Databricks Genie, Hive Met

Requirements