This is a remote position. Role Overview We are seeking a Senior Cloud / Data Platform Engineer with strong AWS and Snowflake expertise to design, build, and operate modern cloud data platforms, data integration pipelines, and self-service data capabilities. In this role, you will play a critical part in enhancing platform automation, security, governance, and observability to deliver high-performing and scalable data solutions. We are looking for a senior, autonomous candidate who can be immediately operational with demonstrated, hands-on experience across the AWS and Snowflake ecosystems.

Key Responsibilities
• Platform Architecture & Engineering: Build, operate, and maintain scalable, high-performance cloud data platforms and self-service data capabilities.
• Data Integration & Pipelines: Design and deploy robust batch and real-time data integration pipelines using tools like Apache NiFi, Airflow, and Kafka.
• Automation & Infrastructure as Code (IaC): Implement Infrastructure as Code (IaC) and modern GitOps/CI/CD practices using Terraform and GitHub.
• Security & Governance: Enforce enterprise data governance, security, and access controls using RBAC, agile data masking, data contracts, and MFT.
• Data Sharing & Modeling: Leverage Snowflake advanced capabilities, including Data Sharing and Hybrid Tables, to support hybrid workloads and cross-organizational data exchange.
• Analytics & Visualization Enablement: Enable business intelligence and data apps by integrating data downstream with tools like Power BI and Streamlit.




• Observability & Support: Implement end-to-end data observability, monitoring, and operational integration with ServiceNow to ensure platform health and reliability. Requirements Required Qualifications & Skills Core

Experience:
• Senior-level experience as a Data Engineer or Cloud Data Platform Engineer.
• Highly autonomous mindset with the ability to become immediately operational upon joining.
• Strong, demonstrated hands-on experience in the AWS and Snowflake ecosystems. Key Technologies & Tools:
· Cloud Platforms & Data Warehousing: AWS (S3, core services), Snowflake (Data Sharing, Hybrid Tables)
• Data Modeling & Transformation: dbt (data build tool), Data Contracts
• Data Ingestion & Orchestration: Apache NiFi, Apache Airflow, Kafka, MFT (Managed File Transfer)
• DevOps, IaC & CI/CD: Terraform, GitHub, CI/CD pipelines, GitOps
• Governance, Security & Operations: Role-Based Access Control (RBAC), Data Masking, ServiceNow
• BI & Data Applications: Power BI, Streamlit Candidate Profile & Expectations
• Autonomous & Proactive: Proven track record of driving projects independently with minimal supervision.
• Operational Excellence: Passionate about building resilient pipelines, automation, observability, and adhering to strict security and governance standards.
• Collaborative Communicator: Ability to work cross-functionally across engineering, analytics, and business units to deliver robust data platforms.

📌 Senior Cloud (Canada)
🏢 KData AI
📍 Canada