Senior Data Platform Automation Engineer - USA Remote

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. 

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). 

Travel, Motor Vehicle Record & Physical/Environment Requirements: 

• 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. 

Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. 

At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. Additional information about the working arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide. 

The annual salary range for this role is $135,000 - $150,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. 

This job is also eligible for bonus/incentive pay. 

We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.