Senior Data Platform Automation Engineer - USA Remote

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At Danaher , our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life. 

Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.  

Are you ready to accelerate your potential and make a real difference? At Danaher , you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. 

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The Senior Data Platform Automation Engineer engineers the automation, developer experience, and reliability layer of Danaher ’s Enterprise Data Platform (Snowflake,Matillion,dbt, Airflow, Azure). This role treats the platform as code — deliveringIaC, CI/CD, self-service golden paths,observabilityand auto-remediation, FinOps and compliance guardrails, and agentic AI operators using Azure AI Foundry and Anthropic Claude.

This position reports to the Director – Data Platform and Operations and is part of the Enterprise DataEngineering teamlocatedin United States (Remote) and will be fully remote.

In this role, you will have the opportunity to:

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Design, deploy, and manage Infrastructure-as-Code (IaC) solutions using Terraform/Pulumi for Snowflake, Azure, Matillion, and Airflow, including reusable golden-path modules, automated provisioning, drift detection, onboarding, access management, and self-service developer enablement through ServiceNow catalogs and “data product in a box” templates.

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Build and maintain enterprise CI/CD capabilities for Snowflake objects, dbt, Matillion, and Airflow using GitHub Actions/GitLab, incorporating automated testing, environment promotion, deployment governance, rollback capabilities, and platform standardization.

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Automate and optimize data platform operations through event-driven workflows, schema-drift detection, idempotent replay, backfill processing, controlled reprocessing, provisioning automation, and end-to-end operational reliability across the data ecosystem.

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Develop and implement AI-driven platform operations and developer enablement solutions using Azure AI Foundry, Anthropic Claude, LangGraph, and/or Semantic Kernel to support L1 incident triage, self-healing workflows, cost optimization, developer copilots, governance guardrails, and model evaluation frameworks.

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Establish platform observability, reliability, and operational excellence through unified telemetry, monitoring, SLO management, runbook-as-code practices, auto-remediation capabilities, and continuous reduction of mean time to resolution (MTTR) using Azure Monitor and Log Analytics.

The essential requirements of the job include:

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7+ years in data engineering,DataOps, DevOps/SRE, or platform engineering, with4+ years automating cloud data platforms.

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Hands-on across the modern data stack — Snowflake,Matillion,dbt, and Apache Airflow — with proven ability to automate ingestion, orchestration, and transformation.

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ProvenIaCand CI/CD experience using Terraform orPulumiand GitHub Actions or GitLab; strong Python skills.

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Hands-on with LLM/agent applications using Azure AI Foundry (Azure OpenAI, Prompt Flow), Snowflake Cortex,Anthropic Claude, OpenAI, or open-source frameworks (LangGraph,AutoGen); familiar with RAG, tool calling, and multi-agent orchestration.

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Bachelor’s degree in Computer Science, Information Systems, Engineering, ora relateddiscipline (or equivalent experience).

Travel, Motor Vehicle Record & Physical/Environment Requirements:

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Ability to travel up to 10% domestically and occasionally internationally.

It would be a plus if you alsopossesspreviousexperience in:

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Experience building Internal developer platforms, AI workflows, agents, data apps, chatb