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EY - GDS Consulting - AI and DATA - Cloud architect- Manager

10 - 15 years

32 - 37 Lacs

kochi

Posted:1 day ago| Platform: Naukri logo

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Skills Required

performance tuning consulting presales healthcare apache microsoft analytics technical documentation sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We re looking for Managers (Big Data Architects) with strong technology and data understanding having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Your key responsibilities

  • Architecture & Solutioning
    • Design and propose

      Azure-based data and AI solutions

      that align with customer objectives and solve business challenges.
    • Architect and implement

      data platforms

      that support

      real-time, batch, and hybrid analytics

      .
    • Recommend design alternatives for

      data ingestion

      ,

      processing

      , and

      provisioning layers

      .
    • Define and develop

      client-specific best practices

      around data management in cloud environments.
    • Translate business problems into

      data models

      ,

      analytics pipelines

      , and

      BI/ML solutions

      .
    • Collaborate with cross-functional teams to ensure

      data security

      ,

      scalability

      , and

      performance

      .

  • Data Engineering & Development
    • Develop standardized practices for delivering new products and capabilities using

      Big Data & cloud technologies

      .
    • Design and develop

      data ingestion programs

      for large datasets in

      batch mode

      using ADB, ADF, Synapse, PySpark, and Python.
    • Build

      real-time ingestion pipelines

      using Apache Kafka, Spark Streaming, and related technologies.
    • Lead the development of

      data Lakehouse architectures

      ,

      streaming pipelines

      , and

      data integration frameworks

      .

  • Governance, Quality & Patterns
    • Define and implement

      data governance

      ,

      lineage

      , and

      quality frameworks

      .
    • Guide teams on various modern

      data design patterns

      , e.g.
      • ETL/ELT
      • Lambda/Kappa Architecture
      • Data Vault & Dimensional Modelling
      • Streaming Data Pipelines
      • CQRS
      • Change Data Capture (CDC)
      • Schema Evolution
      • Immutable Data
      • Polyglot Persistence

  • Leadership & Client Engagement
    • Interact with senior client technology leaders to understand business goals and propose solutions.
    • Lead

      technical delivery

      , including

      effort estimation

      ,

      solution design

      , and

      team management

      .
    • Develop and present

      PoCs

      ,

      demos

      , and

      technical proposals

      to stakeholders and clients.
    • Build and mentor

      technical teams

      and contribute to

      capability development

      .

Skills and Attributes for Success
  • Strong understanding of

    cloud ecosystems

    (Azure, AWS) and

    distributed computing paradigms

    .
  • Hands-on experience with

    • Azure Data Services

      Synapse, ADF, ADB, Azure SQL, Data Lake, Microsoft Fabric

    • Programming

      Python, PySpark, SQL

    • Streaming

      Kafka, Event Hubs, Spark Streaming

    • BI Tools

      Power BI, Tableau
  • Comprehensive applied knowledge of

    • Data modelling

      (dimensional, vault)

    • Data governance

      ,

      metadata management

      , and

      data observability

    • Performance tuning
  • Strong

    stakeholder management

    and ability to bridge

    business and technical teams

    .
  • Exposure to

    AI/ML platforms

    Azure Machine Learning, Cognitive Services, Azure OpenAI.

To Qualify for the Role, You Must Have
  • Minimum

    10 years of industry experience

    , with

    7+ years in data architecture and analytics

    .
  • Proven experience in

    enterprise-grade solution implementations

    .
  • Strong understanding and hands-on experience in

    data strategy

    ,

    cloud-native architectures

    , and

    analytics modernization

    .
  • Experience in

    responding to RFPs/RFIs

    , creating

    technical documentation

    , and leading

    solution design workshops

    .

Ideally, You ll Also Have
  • Project and client management skills.
  • Experience in

    solutioning and pre-sales

    engagements.
  • Exposure to

    data mesh principles

    and

    domain-oriented data product design

    .
  • Familiarity with

    data fabric architectures

    and

    multi-cloud data strategies

    .
  • Familiarity with real-time analytics
  • Experience with

    feature stores

    and

    ML model operationalization

    .

  • People with technical experience and enthusiasm to learn new things in this fast-moving environment

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