Data Architect Leader

3 days ago

Lahore, Punjab, Pakistan beBee Careers Full time
Job Overview

We are seeking a highly skilled and experienced Data Warehouse Architect to join our team. As a key member of our data infrastructure team, you will be responsible for designing, developing, and maintaining robust data systems that support our business goals.

Your Key Responsibilities:

  1. Design and develop scalable data pipelines and ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes using tools like Spark, Kafka, or other cloud-native solutions.
  2. Implement real-time data processing pipelines using tools such as Kafka, Spark Streaming, or Flink to handle continuous data streams effectively.
  3. Design and implement big data solutions to process billions of event records, ensuring workflows are optimized for efficiency and scalability.
  4. Collaborate with stakeholders to understand data requirements and design appropriate data models and database schemas that meet business needs.
  5. Optimize data pipelines and ETL processes to enhance performance and efficiency, ensuring timely and accurate data delivery to end-users.
  6. Monitor, troubleshoot, and resolve issues related to data quality, consistency, and integrity to ensure the reliability and accuracy of data systems.
  7. Architect and implement end-to-end data solutions, including data ingestion, processing, storage, and access layers, ensuring scalability and performance.
  8. Mentor and guide a team of data engineers, fostering a collaborative and high-performing culture. Provide thought leadership in data engineering practices and promote knowledge-sharing initiatives.
  9. Implement and maintain data governance policies, ensuring compliance with data privacy and security regulations.
  10. Collaborate with data scientists, business, and data analysts, providing them with the necessary data infrastructure and tools to enable advanced analytics and insights generation.
  11. Document data engineering processes, data flows, and system architectures to facilitate knowledge sharing and maintain up-to-date technical documentation.
  12. Assist with strategic and budget planning of the unit and ensure that project timelines are managed and met.
  13. Work closely with software engineers, infrastructure teams, and other cross-functional partners to optimize data infrastructure and ensure seamless integration with other systems.
  14. Stay current with industry trends and technologies in data engineering, recommending innovative solutions to improve processes and systems.

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