Senior Data Platform Automation Engineer - USA Remote
Danaher Corporation
Summary
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 — delivering IaC, CI/CD, self-service golden paths, observability and 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 Data Engineering team located in United States (Remote) and will be fully remote.
Job description
In this role, you will have the opportunity to:
- 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.
- 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.
- 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.
- 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.
- 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:
- 7+ years in data engineering, DataOps, DevOps/SRE, or platform engineering, with 4+ years automating cloud data platforms.
- Hands-on across the modern data stack — Snowflake, Matillion, dbt, and Apache Airflow — with proven ability to automate ingestion, orchestration, and transformation.
- Proven IaC and CI/CD experience using Terraform or Pulumi and GitHub Actions or GitLab; strong Python skills.
- 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.
- 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.
It would be a plus if you also possess previous experience in:
- Experience building Internal developer platforms, AI workflows, agents, data apps, chatbots.
- Certifications: AI-102, DP-203, HashiCorp Terraform Associate, or SnowPro Core/Advanced.
Requirements
- 7+ years in data engineering, DataOps, DevOps/SRE, or platform engineering
- 4+ years automating cloud data platforms
- Hands-on across the modern data stack — Snowflake, Matillion, dbt, and Apache Airflow
- Proven IaC and CI/CD experience using Terraform or Pulumi and GitHub Actions or GitLab
- Strong Python skills
- Hands-on with LLM/agent applications using Azure AI Foundry, Snowflake Cortex, Anthropic Claude, OpenAI, or open-source frameworks (LangGraph, AutoGen)
- Familiar 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
Benefits
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Bonus/incentive pay
Company overview
Danaher Corporation is a leading global science and technology innovator headquartered in Washington, D.C., specializing in biotechnology, life sciences, and diagnostics. Founded in 1984 by brothers Steven and Mitchell Rales, the company has evolved from its origins as a manufacturing conglomerate into a premier healthcare technology organization with approximately 63,000 employees worldwide. Danaher operates through three core divisions: biotechnology (28% of revenues), which develops products for therapeutic development; life sciences (31% of revenues), focused on disease identification, new therapies, and drug testing/manufacturing; and diagnostics (41% of revenues), providing instruments, consumables, and software for disease diagnosis. The company's portfolio includes renowned brands such as Beckman Coulter, Cytiva, Pall Corporation, Cepheid, Leica Microsystems, and Abcam, serving pharmaceutical companies, biotechnology firms, healthcare providers, and research institutions globally. Danaher is distinguished by its Danaher Business System (DBS), a continuous improvement methodology that drives innovation and operational excellence. With 2024 revenues of $23.9 billion, the company ranks 180th on the Fortune 500 and plays a critical role in advancing scientific research, improving diagnostic capabilities, and accelerating the development of life-saving therapies.