Senior Cloud Data Platform Engineer — Orchestrated Data Pipelines

Ellkay, Llc; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

Employer-paid Life and LTD

401k w/ matching

Remote work options

Gym membership / Exercise stipends

Employee Discounts

On-site daily lunches

Job summary

ELLKAY is seeking a Senior Cloud Data Platform Engineer to design and build our shared cloud data platform foundation across AWS, Snowflake, and other enterprise systems. The role will focus on data workloads ingestion, processing, and orchestration with reliable, scalable services.

This engineer will develop platform capabilities, APIs, and workflows, promote best practices with Kubernetes, IaC, and observability, and mentor engineers across teams.

Qualifications

• 8+ years of experience in software engineering, cloud engineering, platform engineering, or distributed systems.
• Strong programming experience in Python, Java, or Golang.
• Experience building backend services, microservices, REST APIs, and distributed systems.
• Hands-on experience with AWS or Azure cloud platforms.
• Strong experience with Kubernetes, Docker, Helm, and infrastructure as code.
• Experience building workflow orchestration, automation, or control-plane services.
• Knowledge of relational and NoSQL databases, SQL, object storage, and data movement patterns.
• Experience designing reliable systems with retry, recovery, idempotency, and high-availability requirements.
• Strong understanding of monitoring, observability, operational readiness, and production support.
• Ability to lead technical design and work across multiple engineering teams.

Responsibilities

• Design and build cloud-native platform services supporting data ingestion, processing, transformation, validation, and delivery.
• Develop the platform control plane and APIs used to configure, trigger, monitor, retry, and manage data workflows.
• Implement durable workflow orchestration for long-running and failure-prone data operations using technologies such as Temporal or equivalent services.
• Build reusable ingestion and connector patterns for databases, files, APIs, object storage, and healthcare data sources.
• Develop backend services using Python, Java, or Golang and expose platform capabilities through well-defined REST APIs.
• Establish Kubernetes, Helm, GitOps, and infrastructure-as-code standards for deploying and operating Data Platform services.
• Implement automated provisioning using Terraform, Ansible, and related cloud automation technologies.
• Design workflows for high availability, idempotency, resiliency, retry management, and disaster recovery.
• Establish observability standards using metrics, logging, distributed tracing, dashboards, synthetic monitoring, and actionable alerts.
• Define service-level objectives, operational runbooks, support procedures, and incident-management practices.
• Partner with data engineers, architects, security, SRE, and product teams to establish secure and reusable platform patterns.
• Optimize cloud infrastructure for performance, scalability, reliability, and cost.
• Mentor engineers and help establish engineering standards across the Data Platform organization.

Skills

8+ years experience

Python

Java

Golang

Backend services

REST APIs

AWS

Azure

Kubernetes

Docker

Helm

Infrastructure as Code

Workflow orchestration

Relational & NoSQL databases

High availability

Monitoring & observability

Technical leadership

Tools

AWS

Azure

Kubernetes

Docker

Helm

Terraform

Ansible

Job description

ELLKAY is seeking a Senior Cloud Data Platform Engineer to design and build our shared cloud data platform foundation across AWS, Snowflake, and other enterprise systems. The role will focus on data workloads ingestion, processing, and orchestration with reliable, scalable services.

This engineer will develop platform capabilities, APIs, and workflows, promote best practices with Kubernetes, IaC, and observability, and mentor engineers across teams.