Data Engineer

1 week ago


Canada KData AI Full time
Company Description KData AI is a leading firm in Data and AI Engineering in the cloud, dedicated to delivering exceptional results for businesses worldwide. We specialize in transforming data into actionable insights through innovative AI and engineering solutions.

We are looking for an experienced Data Architect with a minimum of 5 years in designing enterprise-scale data platforms in the cloud. The ideal candidate will have strong expertise in GCP , Databricks , and modern data architecture patterns. This role will be instrumental in defining architectural best practices, data governance, and future-ready infrastructure that powers advanced analytics and AI solutions.

Architect and implement enterprise data platforms on GCP using Databricks , BigQuery , Delta Lake , and ML flow .
Define and enforce data modeling standards , integration architectures , and governance frameworks .
Lead the development of real-time and batch data processing systems that support large-scale analytics and ML.
Provide architectural guidance for data engineers and analysts across projects.
Optimize platform performance, scalability, and cost-efficiency.
Work with business stakeholders to translate data needs into scalable solutions.
Ensure compliance with data security, privacy, and regulatory requirements.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum 5+ years of experience in Data Architecture or similar roles.
GCP Data Engineer Associate Certification is a must.
Databricks Data Engineer Associate Certification is a must.
GCP Professional Data Engineer or Cloud Architect Certification would be an asset.
Databricks Certified Data Engineer Professional would be an asset.
Strong hands-on experience with Apache Spark , SQL , and Python .
Experience designing data architectures for scalability , security , and performance .
Familiarity with DevOps , CI/CD pipelines , and infrastructure as code (Terraform preferred).
Solid understanding of data privacy laws and governance frameworks .

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