Senior Data Architect

19 hours ago

Amrāvati, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000

Job Summary

We are seeking a seasoned Data Architect to join our team. This is an exciting opportunity for a highly skilled professional with expertise in designing and implementing large-scale data systems.

The ideal candidate will have a strong track record of delivering complex data solutions, with hands-on experience in distributed data processing systems, cloud-based architecture, and big data analytics.

Key Responsibilities:

  • Design and implement scalable data architectures using cloud-based technologies.
  • Develop and optimize large-scale data pipelines and distributed data processing systems.
  • Work extensively with Spark (PySpark), Python, and Scala for data processing and transformation.
  • Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
  • Collaborate with cross-functional teams to design and deliver high-quality data products.
  • Ensure delivery of efficient code through code reviews, performance tuning, and best practices.
  • Build monitoring and alerting systems leveraging Splunk or equivalent tools.
  • Participate in CI/CD workflows using Git, Jenkins, and other DevOps tools.

Required Skills:

  • Data Architecture: Minimum 5+ years of hands-on experience in designing and implementing large-scale data systems.
  • Strong expertise in Spark (PySpark) and Python.
  • Hands-on experience with Apache Kafka.
  • Knowledge of NiFi / Airflow for orchestration.
  • Strong experience in Distributed Data Systems (5+ years).
  • Proficiency in SQL and query optimization.
  • Good understanding of Cloud Architecture.

Preferred Skills:

  • Exposure to messaging technologies like Apache Kafka or equivalent.
  • Experience in designing intuitive, responsive UIs for data analytics visualization.
  • Familiarity with Splunk or other monitoring/alerting solutions.
  • Hands-on experience with CI/CD tools (Git, Jenkins).
  • Strong grasp of software engineering concepts, data modeling, and optimization techniques.

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