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    Job · 16192294

    Komplytek logo

    Data Architect

    Komplytek · Mumbai · onsite · Posted 44d ago

    ₹30.0L - ₹35.0L PA12–20 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Summary


    We are seeking an accomplished Data Architect with 12+ years of total experience and minimum 5 years of relevant data architecture experience (banking domain required). The role demands mastery in data warehousing, ETL/ELT, data modeling, analytics, and cloud data platforms, with proven ability to design scalable, multiregional data systems and modernize enterprise data landscapes.


    Education Qualification (Mandatory): BE/BTech/MCA/MTech/MSc in CS/IT/EC


    Additional Qualification (Preferred): MBA Certifications (Mandatory):

    • AWS Certified Data Analytics Specialty / AWS Data Architect
    • Microsoft Certified: Azure Data Engineer Associate
    • Google Cloud Professional Data Engineer (GCP)

    Location: Navi Mumbai


    Core Responsibilities

    • Architect and design enterprise data warehouses, data lakes, and ETL/ELT pipelines.
    • Lead data modeling, reconciliation, storage/capacity planning, and lineage tools adoption.
    • Drive migration of logical data warehouses across platforms (IBM, Teradata, SAP, Oracle).
    • Deliver multiregional, scalable data systems with strong governance and compliance.
    • Implement analytics and reporting solutions (Power BI, Tableau, Cognos).
    • Integrate AI/ML data systems, LLMbased RAG systems, Vector DBs, and semantic search.
    • Modernize legacy data systems into cloud/hybrid architectures.
    • Apply CI/CD practices for data pipelines and governance frameworks.
    • Collaborate with stakeholders to align data architecture with enterprise strategy.
    • Utilize EA tools (Mega Hopex, ABACUS) for architecture modeling and compliance.

    Key Skills (Mandatory)

    • Data warehousing (Netezza, Cloudera, Lakehouse)
    • ETL/ELT pipeline design and optimization
    • Data modeling, visualization, and reconciliation
    • Relational DBs (Oracle, SQL Server, Postgres) and NoSQL (MongoDB)
    • Big data platforms (Cloudera, Netezza)
    • Analytics tools (Power BI, Tableau, Cognos)
    • Data governance and migration strategies
    • AI/ML data systems integration
    • EA tools (Mega Hopex, ABACUS)
    • Cloud data platforms (AWS, Azure, GCP)

    Sourced from naukri

    Skills

    Gcp CloudAzure Data EngineeringAWS Certified

    Data Architect · waiting for your command