Chief Data Architect

23 hours ago

Faisalabad City Tehsil, Pakistan beBeeData Full time 15,000,000 - 25,000,000

About Us

We are a decade-old AI company dedicated to delivering state-of-the-art AI products and solutions across various industries. Our mission is to democratize AI and harness global AI talent from underserved communities.

Job Opportunity

Data Engineering Role

This remote, contract position involves designing, building, and maintaining infrastructure for data integration, storage, processing, and analytics (BI, visualization, and Advanced Analytics).

We seek a skilled Senior Data Engineer with expertise in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps, and cloud-based large-scale data applications. The ideal candidate will work in an Agile environment, contributing to the architecture, design, and implementation of Data products in the Aviation Industry.

The role involves hands-on coding, mentoring junior staff, and collaboration with multi-disciplined teams to achieve project objectives.

Responsibilities
  • Design, develop, test, and maintain high-performance, large-scale data architectures for data integration (batch and real-time), storage, processing, orchestration, and infrastructure.
  • Contribute to detailed design, architectural discussions, and customer requirements.
  • Participate in design, development, and testing of big data products.
  • Construct and optimize Apache Spark jobs and clusters within Databricks.
  • Migrate from Azure Synapse to Azure Data Lake or other technologies.
  • Design schemas and data models to support modern analytics (descriptive to prescriptive).
  • Develop clear, maintainable code with automated testing.
  • Collaborate with cross-functional teams to understand data requirements and deliver reusable components.
  • Evaluate and implement new technologies to improve data integration, processing, storage, and analysis.
  • Design, implement, and maintain data governance: cataloging, lineage, data quality.
  • Monitor and optimize workloads and clusters for performance.
  • Mentor junior team members and share best practices.
  • Maintain documentation of solutions and configurations.
  • Promote best practices in data engineering, governance, and quality.
  • Ensure data quality and security.
  • Be an active Agile team member and contribute to continuous improvement.

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