Senior Data Platform Automation Engineer

🕒 September 16

🇺🇸 United States – Remote

💵 $135k - $150k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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Danaher Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.

📋 Description

• Engineer the automation, developer experience, and reliability layer of Danaher’s Enterprise Data Platform • Design, deploy, and manage Infrastructure-as-Code solutions for Snowflake, Azure, Matillion, and Airflow • Build reusable golden-path modules, automated provisioning, drift detection, onboarding, access management, and self-service developer enablement • Develop enterprise CI/CD capabilities for Snowflake objects, dbt, Matillion, and Airflow • Implement automated testing, environment promotion, deployment governance, rollback capabilities, and platform standardization • Automate data platform operations through event-driven workflows, schema-drift detection, idempotent replay, backfill processing, controlled reprocessing, and provisioning automation • Develop AI-driven platform operations and developer enablement solutions using Azure AI Foundry, Anthropic Claude, LangGraph, and/or Semantic Kernel • Support incident triage, self-healing workflows, cost optimization, developer copilots, governance guardrails, and model evaluation frameworks • Establish unified telemetry, monitoring, SLO management, runbook-as-code practices, auto-remediation capabilities, and continuous MTTR reduction using Azure Monitor and Log Analytics • Report to the Director – Data Platform and Operations as part of the Enterprise Data Engineering team

🎯 Requirements

• 7+ years in data engineering, DataOps, DevOps/SRE, or platform engineering • 4+ years automating cloud data platforms • Hands-on experience with Snowflake, Matillion, dbt, and Apache Airflow • Proven Infrastructure-as-Code and CI/CD experience using Terraform or Pulumi and GitHub Actions or GitLab • Strong Python skills • Hands-on experience with LLM/agent applications using Azure AI Foundry, Azure OpenAI, Prompt Flow, Snowflake Cortex, Anthropic Claude, OpenAI, or open-source frameworks such as LangGraph and AutoGen • Familiarity with RAG, tool calling, and multi-agent orchestration • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent experience • Ability to travel up to 10% domestically and occasionally internationally • Previous experience building internal developer platforms, AI workflows, agents, data apps, or chatbots is a plus • AI-102, DP-203, HashiCorp Terraform Associate, or SnowPro Core/Advanced certifications are a plus

🏖️ Benefits

• Bonus/incentive pay eligibility • Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k) • Flexible and hybrid working arrangements for eligible roles • Reasonable accommodations for applicants and employees with disabilities

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