Senior Data Architecture Specialist

2 days ago

Kanpur, Uttar Pradesh, India beBeeDataEngineer Full time US$ 1,80,000 - US$ 2,50,000
Data Engineering Leadership Role

We are seeking an experienced Data Engineer to lead our data pipeline architecture and collaborate closely with data scientists and analysts to facilitate data-related functionalities. The ideal candidate will have a strong background in modern cloud data warehouses, relational and columnar database systems, and proficiency in data pipeline/workflow orchestration tools.

  • Optimize and scale data delivery pipelines for cross-functional stakeholders.
  • Design, 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.
  • Mentor junior engineers, provide technical guidance, and influence broader data platform strategy.

This role requires a proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence. The successful candidate will be quality-oriented, with a strong sense of ownership over data reliability and accessibility. They should also be experienced in applying secure, compliant data handling practices in regulated environments.

The ideal candidate will possess the following skills:

  • 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.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred).

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