Senior Data Platform Automation Engineer

Posted Sep 16

This is a fully remote position, open to applicants in United States.

📋 Description

• Engineer the automation, developer experience, and reliability layer of Danaher’s Enterprise Data Platform.

• Design, deploy, and manage Infrastructure-as-Code solutions for Snowflake, Azure, Matillion, and Airflow.

• Create reusable golden-path modules, automate provisioning, detect drift, manage onboarding, handle access management, and enable self-service for developers.

• Develop enterprise CI/CD capabilities for Snowflake objects, dbt, Matillion, and Airflow.

• Implement automated testing, environment promotion, deployment governance, rollback capabilities, and standardization of the platform.

• Automate operations on the data platform through event-driven workflows, schema-drift detection, idempotent replay, backfill processing, controlled reprocessing, and provisioning automation.

• Create AI-driven solutions for platform operations and developer enablement using Azure AI Foundry, Anthropic Claude, LangGraph, and/or Semantic Kernel.

• Assist in incident triage, develop self-healing workflows, optimize costs, create developer copilots, establish governance guardrails, and implement model evaluation frameworks.

• Establish unified telemetry, monitoring, SLO management, runbook-as-code practices, auto-remediation capabilities, and continuously reduce MTTR using Azure Monitor and Log Analytics.

• Report to the Director – Data Platform and Operations as part of the Enterprise Data Engineering team.


⛳️ Requirements

• 7+ years of experience in data engineering, DataOps, DevOps/SRE, or platform engineering.

• 4+ years of experience in automating cloud data platforms.

• Practical experience with Snowflake, Matillion, dbt, and Apache Airflow.

• Demonstrated experience with Infrastructure-as-Code and CI/CD using Terraform or Pulumi and GitHub Actions or GitLab.

• Strong proficiency in Python.

• Hands-on experience with LLM/agent applications utilizing Azure AI Foundry, Azure OpenAI, Prompt Flow, Snowflake Cortex, Anthropic Claude, OpenAI, or open-source frameworks like LangGraph and AutoGen.

• Familiarity with RAG, tool calling, and multi-agent orchestration.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.

• Willingness to travel up to 10% domestically and occasionally internationally.

• Previous experience in building internal developer platforms, AI workflows, agents, data applications, or chatbots is a plus.

• AI-102, DP-203, HashiCorp Terraform Associate, or SnowPro Core/Advanced certifications are advantageous.


🏝️ Benefits

• Eligibility for bonus/incentive pay.

• Paid time off.

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• 401(k) retirement plan.

• Flexible and hybrid working arrangements for eligible positions.

• Reasonable accommodations for applicants and employees with disabilities.

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