Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Client C

It is a leading software engineering company delivering innovative, AI-powered platforms for global clients.

AWS Data Architect

Key Responsibilities:


AWS Data Architect

Key Responsibilities

  • Design end-to-end

    AWS-based data architecture

    , including ingestion, storage, transformation, and analytics layers.
  • Build and optimize

    data lakes, data warehouses

    , and

    ETL/ELT pipelines

    using AWS services.
  • Work extensively with

    S3, Glue, Redshift, Athena, EMR, Lambda, Kinesis, RDS, DynamoDB

    , and related services.
  • Define and enforce

    data modeling standards

    , data governance, metadata management, and best practices.
  • Conduct architecture reviews and ensure compliance with

    security, performance, and cost optimization

    guidelines.
  • Collaborate with data engineers, analysts, and business teams to convert requirements into technical architecture.
  • Establish

    data quality frameworks

    , cataloging, lineage, and monitoring mechanisms.
  • Provide technical leadership, documentation, and architectural guidance.

Required Skills & Qualifications

  • Minimum 5 years of experience

    in cloud data architecture, data engineering, or similar roles.
  • Strong expertise in designing

    data lakes, lakehouse architectures

    , and large-scale distributed systems.
  • Proficient in

    SQL, Python, PySpark

    , and ETL/ELT development.
  • Hands-on experience with AWS services:
  • Storage:

    S3
  • Processing:

    Glue, EMR, Lambda, Step Functions
  • Streaming:

    Kinesis
  • Warehouse:

    Redshift
  • Analytics:

    Athena, QuickSight
  • Security/Governance:

    IAM, Lake Formation
  • Experience with

    DevOps, CI/CD

    , CloudFormation or Terraform is a plus.
  • Strong problem-solving and communication skills.

Preferred Qualifications

  • AWS

    Solutions Architect

    or

    Data Analytics Specialty

    certification.
  • Knowledge of

    real-time streaming

    , Kafka, or event-driven architectures.
  • Experience working with BI/ML teams.

Experience: 8

Work Timings:

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