Data Architect

9 hours ago

Thrissur, Kerala, India beBeeCloud Full time ₹ 18,00,000 - ₹ 25,00,000

Job Title: Data Architect

Domain: Cloud Engineering

Overview:

We are seeking highly skilled data architects to design and develop robust cloud-based data architectures that power business intelligence solutions. The role focuses on developing efficient data pipelines, ensuring data quality, security, and scalability to support AI/ML model training, inference, and intelligent decision-making processes in a cloud-native environment.

Key Responsibilities:

  1. Design, develop, and maintain scalable cloud-based data platforms using AWS services such as S3, Glue, EMR, Lambda, Kinesis, Step Functions, Redshift, Athena, DynamoDB, RDS, and Lake Formation.
  2. Leverage big data frameworks like Apache Spark, Hadoop, or Flink to process structured, unstructured, and streaming data in cloud environments.
  3. Ensure robust data governance, security, and quality controls throughout the data lifecycle, supporting regulatory compliance.
  4. Collaborate closely with AI/ML teams to prepare clean, high-quality datasets optimized for model training, inference, and fine-tuning.
  5. Optimize data infrastructure to achieve high performance, scalability, reliability, and cost efficiency.
  6. Implement CI/CD pipelines and data engineering best practices in a cloud-native architecture for automated deployments.
  7. Monitor, debug, and resolve issues in data pipelines to ensure high availability, reliability, and minimal latency.

Required Skills & Qualifications:

  • 3–7 years of hands-on experience in data engineering, building data pipelines, and cloud-based data solutions.
  • Strong programming skills in Python, SQL, and/or Scala/Java.
  • Expertise in AWS cloud services, including S3, Glue, EMR, Redshift, Athena, Kinesis, Lambda, Step Functions, DynamoDB, and RDS.
  • Experience with data pipeline orchestration tools such as Apache Airflow, AWS Step Functions, Dagster, or similar.
  • Proficiency in big data frameworks like Apache Spark, Hadoop, or Flink.
  • Solid understanding of data modeling, data warehousing concepts, and schema design principles.
  • In-depth knowledge of data governance, lineage, security policies (IAM roles, encryption, Lake Formation).
  • Hands-on experience in managing real-time streaming data using Kafka, Kinesis, or equivalent tools.

Preferred Attributes:

  • Experience working in regulated industries (healthcare, Life Sciences) with a focus on compliance and data privacy.
  • Strong problem-solving skills and ability to work in a collaborative, cross-functional team environment.

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