W-2 Jobs Portal
  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

    • Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters


Job Overview

  • Job ID:

    J52701

  • Specialized Area:

    AWS

  • Job Title:

    Azure Cloud Architect

  • Location:

    Princeton,NJ

  • Duration:

    24 Months

  • Domain Exposure:

    Telecom

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)

  • Bench Recruiter:

    Nina Stephens




Job Description

Job Details

Job Title: Azure Cloud Architect
 
  • Contribute to the design and implementation of scalable data architectures, such as a Lakehouse, using Delta Lake and Unity Catalog.
  • Manage and maintain the underlying data infrastructure, which typically exists on a major cloud platform like AWS, Azure, or Google Cloud Platform.
  • Implement data governance practices, including data lineage, metadata management, and access controls integrating with other 3rd party products like Immuta, Protegrity for tokenization etc.
  • Adhere to software engineering best practices, including participating in code reviews and CI/CD (Continuous Integration/Continuous Deployment) automation.
  • Stay up to date with the latest trends and technologies in data engineering and the Databricks ecosystem.
  • Design and build robust ETL (Extract, Transform, Load) and ELT workflows to ingest, transform, and load structured and unstructured data from various sources.
  • Utilize Databricks features like Delta Live Tables and Databricks Workflows to orchestrate and manage complex data processes.
  • Optimize and tune Apache Spark jobs for performance and cost efficiency on large datasets.
  • Implement and enforce data security, access control, and compliance policies in Databricks and Azure.
  • Hands on experience working on streaming technologies (Kafka, Event Hubs, Kinesis).
  • Experience architecting machine learning platforms, advanced analytics workloads and develop and deployment of MLOPS on Databricks.
  • Expertise with enterprise security models, networking, and cost governance.
  • Should have experience working with DevOps teams to establish deployment practices using Terraform or similar.
  • Optimize Databricks performance (auto-scaling, caching, delta optimization, job tuning, cost optimization).
  • Prior experience in leading enterprise Azure Databricks implementations

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Amtex is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Amtex will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Amtex require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract