About this opportunity
Neshent Technologies lists this Senior Apache Airflow Platform Engineer opportunity in New Hope, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Roles & Responsibilities
Architect, deploy, and manage production-grade Apache Airflow/Astronomer platforms on Kubernetes.
Manage platform upgrades, high availability, scalability, capacity planning, security, and performance optimization.
Automate infrastructure provisioning and platform lifecycle using Terraform, Helm, GitOps, and CI/CD pipelines.
Develop reusable DAG templates, custom operators, shared libraries, testing frameworks, and self-service tools.
Implement monitoring, logging, alerting, SLA tracking, incident management, and disaster recovery.
Optimize workflow scheduling, task concurrency, retries, backfills, and resource utilization.
Implement access controls, secrets management, audit logging, and security best practices.
Collaborate with data engineering and platform teams, mentor engineers, and define platform standards and roadmaps.
Required Skills
6+ years of experience in data engineering, platform engineering, or infrastructure systems.
3+ years of hands-on Apache Airflow production experience at scale.
Strong expertise in Astronomer, Airflow DAGs, operators, sensors, dynamic task mapping, scheduling, and workflow optimization.
Strong Kubernetes, Helm, Terraform, GitOps (Argo CD/Flux), and CI/CD experience.
Proficiency in Python and Bash scripting.
Experience with Prometheus, Grafana, centralized logging, monitoring, and SRE practices.
Knowledge of AWS, Azure, or GCP, including IAM, networking, and cloud storage.
Experience with security, RBAC, SSO/OIDC, secrets management, incident response, and high-availability architecture.
Nice to Have
Experience with Snowflake, BigQuery, Redshift, Databricks, Spark, or dbt.
Familiarity with OpenLineage, Marquez, data quality frameworks, and data contracts.
Experience with multi-region disaster recovery, platform migrations, and cost optimization.
Contributions to Apache Airflow or development of internal developer platforms.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.