Senior Data Solutions Architect

5 days ago


Shimoga, Karnataka, India beBeeData Full time US$ 1,80,000 - US$ 2,40,000
About the Role

We are seeking an experienced Senior Data Engineer to join our team. This is a critical role responsible for constructing and optimizing our data pipeline architecture, collaborating closely with data scientists and analysts to facilitate data-related functionalities.

  • The ideal candidate will lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.
  • They will architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning.
  • The successful candidate will partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.
Responsibilities

The Senior Data Engineer will be pivotal in designing, building, and maintaining highly scalable data pipelines, optimizing data delivery, and automating data processes.

  • Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.
  • Architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning.
  • Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.
  • Establish best practices for data quality, governance, security, and compliance; implement automated frameworks for cleaning, validation, correction, and enrichment.
  • Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards.
Requirements

To succeed in this role, you will need:

  • A minimum of 6 years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects.
  • Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery).
  • Advanced SQL skills and strong experience with relational and columnar database systems.
  • Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi).
  • Solid programming background (Python, Scala, or Java) for data processing and automation.
Benefits

This role offers opportunities for growth and development in a dynamic environment. We are looking for someone who is passionate about technology and committed to delivering exceptional results.



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