Senior Data Platform Automation Engineer

Danaher Corporation

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$135,000–$150,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $183k
This role $142k
$125k most similar roles pay here $230k

This role pays less than 75% of similar roles. Most pay $146,368–$219,618 — the shaded band above. At the midpoint, this role pays about $142k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Danaher Corporation

Danaher Corporation is a leading global science and technology innovator focused on biotechnology, diagnostics, and life sciences.

Danaher Corporation currently has 32 open roles on FindRole.

Listed pay typically runs $150,000–$177,500 across 28 roles with salary data.

Most-posted roles

View all roles at Danaher Corporation

At a glance

TL;DR · Senior Data Platform Automation Engineer

The Senior Data Platform Automation Engineer joins the Enterprise Data Engineering team to engineer the automation, developer experience, and reliability layer of the Enterprise Data Platform. This role treats the platform as code by delivering Infrastructure-as-Code solutions, CI/CD pipelines, self-service golden paths, and agentic AI operators. You will design and manage IaC using Terraform or Pulumi for Snowflake, Matillion, dbt, and Airflow while building enterprise CI/CD capabilities via GitHub Actions or GitLab. Key responsibilities include automating data platform operations through event-driven workflows, schema-drift detection, and proactive observability using Azure Monitor and Log Analytics. The role requires expertise in Python and the modern data stack, alongside experience with LLM applications using Azure AI Foundry, Anthropic Claude, LangGraph, and Semantic Kernel to drive automated triage, cost optimization, and developer copilots within the data ecosystem.

What you'll do

  • Design and manage Infrastructure-as-Code solutions using Terraform or Pulumi for Snowflake, Azure, Matillion, and Airflow.
  • Build and maintain enterprise CI/CD pipelines for data objects using GitHub Actions or GitLab.
  • Automate data platform operations including schema-drift detection, idempotent replay, and backfill processing.
  • Develop AI-driven platform tools and agentic workflows using Azure AI Foundry and Anthropic Claude.
  • Establish platform observability and reliability through unified telemetry, monitoring, and auto-remediation capabilities.
  • Create self-service "golden path" modules to enable developer onboarding and automated provisioning.
  • Implement FinOps and compliance guardrails across the enterprise data ecosystem.

What we're looking for

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline (or equivalent experience).
  • 7+ years of experience in data engineering, DataOps, DevOps/SRE, or platform engineering.
  • 4+ years of experience automating cloud data platforms.
  • Hands-on experience with Snowflake, Matillion, dbt, and Apache Airflow.
  • Proficiency in Python and Infrastructure-as-Code using Terraform or Pulumi.
  • Experience with CI/CD tools such as GitHub Actions or GitLab.
  • Hands-on experience with LLM/agent applications using Azure AI Foundry, Snowflake Cortex, Anthropic Claude, OpenAI, or frameworks like LangGraph.
  • Certifications in AI-102, DP-203, HashiCorp Terraform Associate, or SnowPro Core/Advanced (preferred).
  • Experience building internal developer platforms, AI workflows, agents, data apps, and chatbots (preferred).

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