Data Architect

7 days ago

Coimbatore, Tamil Nadu, India Hash Agile Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Key Responsibilities

  • Design and architect
    scalable, secure, and resilient data platforms
    leveraging cloud-native technologies (AWS, Snowflake, Redshift).
  • Lead the design and implementation of
    data pipelines (ETL/ELT)
    for both batch and real-time processing.
  • Build and optimize
    data lakes and data warehouses
    to support enterprise analytics and AI/ML use cases.
  • Define and implement
    data modeling standards, metadata management, and master data management (MDM)
    practices.
  • Architect
    event-driven and streaming solutions
    using Kafka, EventBridge, and similar technologies.
  • Ensure compliance with
    governance, data security, privacy, and regulatory requirements
    (HIPAA, GDPR, etc.).
  • Drive adoption of best practices in
    data engineering, cloud architecture, and DevOps for data platforms
    .
  • Collaborate with business stakeholders, data scientists, engineers, and product teams to deliver data-driven insights.
  • Provide
    technical leadership, mentoring, and guidance
    to engineering teams.

Required Skills & Experience

  • 10+ years of experience in
    data architecture, engineering, or related technical roles
    .
  • Proven expertise in the
    modern data stack
    : AWS Glue, Lambda, Kinesis, S3, Redshift/Snowflake.
  • Strong programming and scripting experience with
    SQL and Python
    .
  • Hands-on experience with
    workflow orchestration
    tools (Airflow, Prefect, Step Functions).
  • Proficiency in
    Big Data technologies
    : Spark, PySpark, Scala.
  • Solid understanding of
    streaming & event-driven architectures
    (Kafka, EventBridge/Event Bus).
  • Experience in
    data modeling, building data lakes/warehouses
    , and architecting analytical platforms.
  • Strong knowledge of
    data governance, security, compliance, and MDM
    practices.
  • Excellent problem-solving, analytical, and
    system design
    skills.
  • Exceptional communication,
    stakeholder management
    , and leadership capabilities.

Nice-to-Have Skills

  • Exposure to
    ML Ops
    and supporting AI/ML pipelines.
  • Experience with
    containerization and orchestration
    (Docker, Kubernetes).
  • Familiarity with
    CI/CD pipelines
    and Infrastructure as Code (Terraform, CloudFormation).
  • Experience in
    multi-cloud or hybrid-cloud environments
    .

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