Job title : Azure Data Architect | Need Senior above 15+ Ys

[Nishad]

Job title : Azure Data Architect 

Location: Collegeville or Philadelphia, Pennsylvania

 Mandatory Azure Certification

Customer is looking for Pure Hands-on Azure Data Architect who recently implemented 2 Azure Projects.

 

Required Role Expectation:

Extensive experience (13+ 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 Meta