Senior Cloud / Data Platform Engineer

KData Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

KData Inc. is seeking a Senior Cloud / Data Platform Engineer to design, build, and operate modern cloud data platforms with strong AWS and Snowflake expertise.

You will lead data integration pipelines, IaC practices, governance, and observability to deliver scalable data solutions. The ideal candidate brings hands-on experience across AWS and Snowflake ecosystems, can work autonomously, and will drive platform automation and cross-functional collaboration to enable BI and data apps across the

Qualifications

• Senior-level experience as a Data Engineer or Cloud Data Platform Engineer.
• Strong, demonstrated hands-on experience in the AWS and Snowflake ecosystems.
• Highly autonomous mindset with ability to be immediately operational.

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 Apache NiFi, Airflow, and Kafka.
• Automation & Infrastructure as Code (IaC): Implement IaC and modern GitOps/CI/CD practices using Terraform and GitHub.
• Security & Governance: Enforce enterprise data governance, security, and access controls using RBAC, dynamic data masking, data contracts, and MFT.
• Data Sharing & Modeling: Leverage Snowflake data sharing and hybrid tables for cross-organizational data exchange.
• Analytics & Visualization Enablement: Enable BI and data apps using Power BI and Streamlit.
• Observability & Support: Implement end-to-end data observability, monitoring, and operational integration with ServiceNow.

Skills

Senior-level experience

Autonomous mindset

Hands-on AWS & Snowflake

Tools

AWS

Snowflake

dbt

Apache NiFi

Apache Airflow

Kafka

Terraform

GitHub

Power BI

Streamlit

ServiceNow

Job description

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, dynamic 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)
• 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.