Senior Cloud-Based Data Architect

4 days ago

Gujrat, Punjab, Pakistan beBeeDataEngineer Full time 18,000,000 - 25,000,000
About the Role

This is a remote position that oversees the design, development, and maintenance of infrastructure for data integration, storage, processing, and analytics.

We are seeking an experienced Senior Data Engineer with a strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps, and cloud-based large-scale data applications who has a passion for data quality, performance, and cost optimization.

The ideal candidate will work in an Agile environment, contributing to the architecture, design, and implementation of Data products including migration from Synapse to Azure Data Lake.

Responsibilities:

  • Design, develop, test, and maintain high-performance, large-scale, complex data architectures that support data integration (batch and real-time, ETL and ELT patterns from heterogeneous data systems: APIs and platforms), storage (data lakes, warehouses, data lake houses, etc.), processing, orchestration, and infrastructure.
  • Participate in detailed design, architectural discussions, and customer requirements sessions.
  • Actively participate in the design, development, and testing of big data products.
  • Construct and fine-tune Apache Spark jobs and clusters within the Databricks platform.
  • Migrate out of Azure Synapse to Azure Data Lake or other technologies.
  • Evaluate, design, implement, and maintain data governance solutions: cataloging, lineage, data quality, and data governance frameworks that are suitable for a modern analytics solution.
  • Continuously monitor and fine-tune workloads and clusters to achieve optimal performance.
  • Provide guidance and mentorship to junior team members, sharing knowledge and best practices.
  • Maintain clear and comprehensive documentation of the solutions, configurations, and best practices implemented.
  • Promote and enforce best practices in data engineering, data governance, and data quality.
  • Ensure data quality and accuracy.
  • Design, implement, and maintain data security and privacy measures.
  • Be an active member of an Agile team, participating in all ceremonies and continuous improvement activities, being able to work independently as well as collaboratively.

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