AWS Big Data Lead And Technical Architect

2 weeks ago

Bengaluru South Karnataka, India CodersBrain Full time US$ 1,50,000 - US$ 2,00,000 per year

About the Role

We are seeking a highly skilled
AWS Big Data Lead & Technical Architect
with over 10 years of experience in designing, implementing, and leading enterprise-grade Big Data solutions. The ideal candidate will combine deep
technical expertise in AWS and Big Data technologies
with strong leadership and architectural skills to drive large-scale data transformation initiatives.

Key Responsibilities
Leadership & Strategy

  • Lead and mentor cross-functional teams of Big Data engineers and solution architects.
  • Define and execute the
    data architecture strategy, roadmaps, and modernization initiatives
    .
  • Collaborate with business stakeholders, product managers, and data scientists to deliver
    scalable and impactful data solutions
    .
  • Provide
    technical thought leadership
    and guide clients in adopting AWS-based data platforms.

Technical Architecture

  • Architect and implement
    end-to-end Big Data solutions
    (data ingestion, storage, processing, and analytics) on AWS.
  • Design and optimize
    data lakes, data warehouses, and streaming architectures
    using AWS services (S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda, DynamoDB).
  • Define
    best practices
    for scalability, security, data governance, and performance optimization.
  • Create
    architecture blueprints, high-level design documents, and technical specifications
    .
  • Ensure compliance with
    data security, privacy, and regulatory frameworks
    (GDPR, HIPAA, etc.).

Engineering & Delivery

  • Oversee the development of
    ETL/ELT pipelines
    , real-time streaming solutions, and advanced analytics platforms.
  • Optimize workloads for
    cost efficiency, reliability, and high availability
    .
  • Collaborate with DevOps teams to implement
    CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation)
    , and monitoring solutions.
  • Evaluate emerging technologies and recommend
    innovative solutions
    for evolving business needs.

Required Skills & Qualifications

  • 10+ years of experience in
    Big Data engineering, solution architecture, and leadership
    .
  • Strong expertise in
    AWS cloud services
    (S3, EMR, Glue, Redshift, Kinesis, Athena, Lambda, DynamoDB).
  • Hands-on experience with
    Hadoop ecosystem, Spark, Kafka, Hive, and Presto
    .
  • Proficiency in
    Python, Java/Scala, and SQL
    for data processing.
  • Deep understanding of
    data modeling, metadata management, and governance frameworks
    .
  • Strong experience in
    technical architecture, system design, and integration
    .
  • Excellent leadership, stakeholder management, and communication skills.
  • AWS Certifications (e.g.,
    AWS Certified Solutions Architect – Professional, AWS Data Analytics Specialty
    ) preferred.

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