Lead Consultant | Cloud Platform | Google Cloud - Architecture

Ipolarity LLC

  • Charlotte, NC
  • 8 days ago

    Highlights

    This role focuses on building platform capabilities, not simply consuming existing data tools enabling consistent, secure, and scalable access to Spark-based data pipelines. We are seeking a Python-based platform engineer to design and build a containerized API layer that abstracts and governs interactions with Apache Spark through a well-defined API contract.

    Numbers & Facts

    LocationCharlotte, NC

    Description

    POC: Sam Chavez

    ATTENTION ALL SUPPLIERS!!!

    READ BEFORE SUBMITTING:
    UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
    We prioritize endorsing those with complete and accurate information
    Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
    Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
    Please submit profiles within the max proposed rate.
    Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.

    MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.

    Job Title: Lead Consultant | Cloud Platform | Google Cloud - Architecture
    Work Location & Reporting Address: Charlotte, NC 28202 (Onsite-Hybrid. Local Candidates only)
    Contract duration: 6
    MAX VENDOR RATE: #### per hour max
    Target Start Date: 21 Sep 2026
    Does this position require Visa independent candidates only? Yes

    Must Have Skills:
    Python
    Pyspark
    API
    Microservices CI/CD
    GCP
    ETL

    Nice to Have Skills:
    ETL

    Detailed Job Description:
    At least 10 years of experience in IT industry.
    We are seeking a Python-based platform engineer to design and build a containerized API layer that abstracts and governs interactions with Apache Spark through a well-defined API contract. This role focuses on building platform capabilities, not simply consuming existing data tools enabling consistent, secure, and scalable access to Spark-based data pipelines.
    Should have good hands-on experience in GCP skills. Should be able to interact, coordinate with the client.
    Should be able to manage offshore resources also.
    Should be able to work with other onsite team members and client.

    Tech Skills
    Python,
    Pyspark
    Experience building control planes
    Design patterns
    1. Modular containerized services
    2. Asynchronous processing
    3. Job-based work queue execution
    4. Immutability and idempotency
    5. Metadata management
    6. Policy enforcement
    7. Semantic modeling
    8. Observability and telemetry
    9. Side effect capability injection
    GCP

    Testing
    Functional testing
    Behavioral testing

    Languages
    Python

    Frameworks and Platforms
    FastAPI
    ARQ
    Kubernetes
    Pytest

    Minimum Years of Experience:
    8+ years

    Certifications Needed:
    None

    Top 3 responsibilities you would expect the Subcon to shoulder and execute:
    Should have good expertise in delivery coordination
    Should be able to manage complex software application development and support projects
    Should be able to manage offshore resources also

    Interview Process (Is face to face required?)
    Virtual

    Any additional information you would like to share about the project specs/nature of work:

    Project Code: Allocation code for HLDI

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