Senior Data Platform Automation Engineer

🕒 September 16

🗽 New York – Remote

🗽 New York – Remote

💵 $135k - $150k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 8%

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Danaher

WebsiteLinkedInAll Job Openings

10,000+ employees

🧬 Biotechnology

🏥 Healthcare

🔬 Science

Biotechnology • Healthcare • Science

Danaher is a leading global life sciences and diagnostics innovator that applies science and technology to improve human health. Its portfolio includes businesses in biotechnology, diagnostics, and life sciences that provide instruments, tools, software and services to accelerate research, develop and deliver therapies, and enable precise and rapid diagnostics. Danaher emphasizes continuous improvement through its Danaher Business System, pursues acquisitions and partnerships to expand capabilities, and focuses on scaling scientific innovation and delivering impact at global scale.

📋 Description

• Design, deploy, and manage Infrastructure-as-Code solutions for Snowflake, Azure, Matillion, and Airflow • Build reusable golden-path modules, automated provisioning, drift detection, onboarding, and access management • Enable self-service development through ServiceNow catalogs and “data product in a box” templates • Build and maintain enterprise CI/CD 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 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, and auto-remediation using Azure Monitor and Log Analytics • Reduce mean time to resolution and improve operational reliability across the data ecosystem • 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 experience automating ingestion, orchestration, and transformation • 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, LangGraph, AutoGen, or similar frameworks • 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 • Preferred: experience building internal developer platforms, AI workflows, agents, data apps, or chatbots • Preferred certifications: AI-102, DP-203, HashiCorp Terraform Associate, or SnowPro Core/Advanced

🏖️ 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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