Senior Data Platform Automation Engineer - USA Remote

Danaher is a science and technology company working across life sciences, diagnostics, and biotechnology. The Senior Data Platform Automation Engineer will automate and operate the Enterprise Data Platform by building infrastructure-as-code, CI/CD, observability, reliability, self-service enablement, FinOps and compliance guardrails, and AI-driven platform operations.

Responsibilities:

• 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

Requirements:

• • 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
• • Experience building Internal developer platforms, AI workflows, agents, data apps, chatbots
• • Certifications: AI-102, DP-203, HashiCorp Terraform Associate, or SnowPro Core/Advanced