Openaxion is seeking a highly skilled Senior Data Engineer to lead and manage a team of 15 professionals in designing, building, and maintaining robust data pipelines and big data solutions. The ideal candidate will have at least four years of experience developing data pipelines, working with data warehousing, and optimizing ETL processes on cloud data platforms. This role requires expertise in data modeling, governance, and integration to ensure reliable and scalable data architecture that supports company-wide analytics and business intelligence initiatives. Strong communication skills and the ability to work effectively within the US timezone are essential, facilitating collaboration across various stakeholders and technical teams. The Senior Data Engineer plays a critical role in workflow orchestration to manage the scheduling and execution of data processes efficiently. This position involves continuous performance optimization of data systems to enhance speed and reliability. By leveraging knowledge in big data technologies, the engineer ensures the smooth ingestion, transformation, and storage of large volumes of data from multiple sources. The role demands not only advanced technical skills but also leadership capabilities to guide the team towards delivering high-quality data solutions aligned with Openaxions business objectives.
Responsibilities

  • Lead and manage a team of 15 data engineers, providing technical guidance and ensuring project milestones are met on schedule.
  • Design, develop, and maintain scalable data pipelines for efficient data ingestion, transformation, and integration across diverse data sources.
  • Implement and optimize ETL processes to ensure accurate and timely data availability within data warehouses.
  • Develop and enforce data governance policies to maintain data quality, security, and compliance standards.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver tailored data solutions.
  • Deploy and manage cloud-based data platforms, ensuring high availability, security, and cost-efficiency.
  • Apply data modeling techniques to support analytical needs and facilitate easy data accessibility.
  • Utilize big data technologies to process and analyze large datasets, improving data-driven decision-making.
  • Manage workflow orchestration tools to automate and monitor data processing pipelines.
  • Continuously monitor, troubleshoot, and optimize system performance to handle growing data workloads effectively.
  • Ensure timely communication and coordination within the team and across departments, adapting to the US timezone schedule.
  • Support hiring, training, and mentoring initiatives to build a capable and motivated data engineering team.

Job Details

Total Positions:
1 Post
Job Shift:
Remote
Job Type:
Job Location:
Gender:
Male
Minimum Experience:
4 Years
Apply Before:
Jun 29, 2026
Posting Date:
May 28, 2026

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