Senior Cloud Data Platform Engineer — Remote

Ellkay, Llc; United States; Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Remote work options

401k matching

Medical, Dental, Vision benefits

Generous paid time off

Job summary

ELLKAY is seeking a Senior Cloud Data Platform Engineer to design and build a shared cloud data platform foundation across AWS, Snowflake, and other enterprise systems. You will create reusable infrastructure, APIs, and workflow orchestration to support data ingestion, processing, validation, and delivery.

You will implement platform control planes, job orchestration, and observability, while guiding cross‑functional teams and promoting scalable, secure data solutions for healthcare data

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 designing reliable systems with retry, recovery, idempotency, and high-availability requirements.

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 data operations using 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 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, monitoring, and alerts.
• Define SLAs, runbooks, support procedures, and incident-management practices.
• Partner with data engineers, architects, security, SRE, and product teams to establish 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

Python

Java

Golang

AWS

Azure

Kubernetes

Docker

Helm

Infrastructure as Code

REST APIs

Distributed systems

Monitoring/Observability

Cross-team Leadership

Tools

Snowflake

Amazon S3

AWS Glue

Databricks

Spark

Temporal

Airflow

Dagster

Kafka

Job description

ELLKAY is seeking a Senior Cloud Data Platform Engineer to design and build a shared cloud data platform foundation across AWS, Snowflake, and other enterprise systems. You will create reusable infrastructure, APIs, and workflow orchestration to support data ingestion, processing, validation, and delivery.

You will implement platform control planes, job orchestration, and observability, while guiding cross‑functional teams and promoting scalable, secure data solutions for healthcare data