TL;DR

Data Platform Release Engineer (DevOps): Owning, managing, facilitating, and executing releases across various environments for an Enterprise Data & Analytics Platform with an accent on coordinating across development teams and business stakeholders, defining new release processes, and managing change communication. Focus on executing release packages, step-by-step deployment guides, and supporting project timelines while understanding complex data conversion and infrastructure architectures.

Location: Must be local to Seattle, Washington and be willing to go to the office on a daily basis.

Salary: $111,200 to $187,740

Company

%hirify_global% is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world.

What you will do

Plan, manage, and execute releases across all environments, from development to production.
Identify technical and functional interdependencies and coordinate with development pods and stakeholders.
Review application code, documentation, and perform pre/post-deployment tasks.
Define release processes for new data engineering applications and manage change communication.
Lead release cadence from Monday through Thursday.
Execute release packages, step-by-step deployment guides, and command line instructions on production environment.
Support project timelines, setting and realigning expectations as priorities change.
Develop a sound understanding of client’s needs, including data conversion, environment management, deployment planning, solution designs, and architectures.

Requirements

Execute deployment scripts and step-by-step instructions in test and production environments.
Comfortable with Command Line Interfaces.
Understanding of CI/CD, Git branching, packaging, and DevOps pipelines.
Working knowledge of data warehousing and reporting technologies such as Azure, Databricks, Unity Catalog, Python, Spark, PySpark, Airflow, MicroStrategy, and Tableau.
Must be local to Seattle, Washington and be willing to go to office on a daily basis.

Culture & Benefits

Paid time off, including 12-25 days of vacation, company-paid holidays, personal days, and sick leave.
Comprehensive medical, dental, and vision coverage.
Retirement savings plans (e.g., 401(k) in the U.S.).
Life and disability insurance.
Employee assistance programs.
Opportunity to shape your career in a collaborative community supported by colleagues globally.

Data Platform Release Engineer (Data & AI)