Cloud Data Architect

2 days ago

Dindigul, Tamil Nadu, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Executive Data Engineering Position

We are seeking a visionary and highly experienced executive-level data engineer to lead our team of experts in designing, developing, and managing scalable data infrastructure and pipelines. This role requires an individual with a strong focus on Databricks and cloud-based data engineering.

Key Responsibilities:

  • Lead and manage a high-performing team of data engineers, providing mentorship, technical guidance, and fostering a culture of collaboration and innovation.
  • Architect and oversee the implementation of large-scale data pipelines, data lakes, and cloud-based data warehouses using Databricks, Apache Spark, and Snowflake.
  • Develop and optimize ETL/ELT workflows to ensure performance, reliability, and scalability of data infrastructure.
  • Collaborate with business stakeholders, data scientists, and software teams to understand requirements and translate them into efficient data solutions.
  • Implement best practices for data quality, governance, security, and compliance.
  • Drive continuous improvement of data engineering processes, standards, and tools across the organization.

Qualifications & Skills:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Minimum 18 years of professional experience in data engineering with at least 12 years in leadership or senior technical roles.
  • Deep hands-on expertise with Databricks and Apache Spark for large-scale data processing.
  • Strong programming skills in Python, Scala, or Java.
  • Extensive experience with cloud data platforms such as AWS, Azure, or GCP, including services like S3, Redshift, BigQuery, Snowflake.
  • Solid understanding of data modeling, data warehousing, ETL/ELT design, and data lakes.
  • Experience with big data technologies like Hadoop, Kafka, and Databricks ecosystem.
  • Knowledge of CI/CD pipelines, data orchestration tools (e.g., Apache Airflow), and data governance best practices.
  • Proven experience managing high-performing teams and delivering complex data engineering projects on time.

Benefits:

  • Opportunity to work with cutting-edge technologies and innovative projects.
  • Chance to develop and mentor a team of skilled data engineers.
  • Flexible work environment with opportunities for growth and advancement.

Others:

This is a unique opportunity to join our team and contribute to shaping the future of data engineering. If you are passionate about technology and have a drive for excellence, we encourage you to apply for this position.

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