Senior Data Platform Automation Engineer - USA Remote

Danaher Corporation
New York, NY, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$135,000.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Application Frameworks ARM Architecture Automation of Tests Microsoft Azure Information Systems Continuous Integration Information Engineering Data Infrastructure Extract Transform Load (ETL) Dataspaces
+23 more
Data Warehousing DevOps Github Identity and Access Management Python (Programming Language) Log Analysis Cloud Services DataOps Enterprise Data Management Pulumi Chatbots Large Language Models Snowflake Multi-Agent Systems Model Validation Mttr Gitlab Infrastructure Automation Frameworks Information Technology Hashicorp Terraform Automation Anywhere Servicenow

Job description

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.

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, A nthropic 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.

Benefits & conditions

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 (https://leplb1040.upoint.alight.com/ah-angular-afirst-web/) . 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. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

About the company

At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact - innovating at the speed of life.

Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.

Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.

Learn about the Danaher Business Syste m which makes everything possible.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:08 min

Aligning engineering processes with core business impact metrics

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Structuring CI/CD pipelines with integrated security and quality checks

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Career evolution in data engineering and AI platforms

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Balancing data science skillings alongside systems engineering rigor

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