AWS MWAA (Amazon Managed Workflows for Apache Airflow) Administrator / Engineer _ Remote Dallas, TX

Hello,

Good morning,

I'm Likitha from Floga Technologies. We are a growing IT services organization delivering scalable technology solutions and are expanding our team with qualified talent.

We have an immediate opening for an AWS MWAA Administrator / Engineer with strong hands-on experience to support a long-term engagement with our client. Must collaborate effectively with cross-functional teams to deliver high-quality solutions

Role: AWS MWAA (Amazon Managed Workflows for Apache Airflow) Administrator / Engineer

Location: Remote (Based on the business needs candidates needs to be flexible to work from office, Dallas, TX)

Experience: 10+ years

Duration: Long Term

Work Mode: Remote / Hybrid / Onsite (depending on candidate availability)

Job Summary

We are seeking an experienced AWS MWAA Administrator / Engineer to design, deploy, administer, monitor, and optimize Amazon Managed Workflows for Apache Airflow (MWAA) environments supporting enterprise data engineering, data integration, analytics, and workflow orchestration.

The ideal candidate will have strong hands-on experience with Apache Airflow, AWS MWAA administration, AWS cloud services, Infrastructure as Code (IaC), CI/CD automation, cloud security, and production operations.

This role will work closely with Cloud Engineering, Data Engineering, DevOps, Security, and Application Development teams to ensure reliable, scalable, secure, and cost-effective workflow orchestration across AWS environments.

Key Responsibilities

1. AWS MWAA Platform Administration

• Deploy, configure, administer, and maintain AWS MWAA environments.
• Manage Airflow version upgrades, patches, and environment lifecycle activities.
• Configure and manage workers, schedulers, plugins, and MWAA environment settings.
• Manage Airflow connections, variables, pools, and secrets.
• Perform capacity planning, resource management, and performance optimization.
• Ensure platform availability, scalability, and operational stability.

2. Apache Airflow & DAG Management

• Support development teams with onboarding, development, testing, and deployment of Airflow DAGs.
• Troubleshoot DAG failures, scheduling issues, task dependencies, and execution errors.
• Establish workflow development standards, coding best practices, and operational procedures.
• Manage DAG deployments and promotions across Development, Test, UAT, and Production environments.
• Optimize workflow execution, task scheduling, and resource utilization.
• Manage Airflow operators, sensors, hooks, and dependencies.

3. AWS Cloud Services Integration

• Integrate Airflow workflows with AWS services, including:
  • Amazon S3
  • AWS Glue
  • AWS Lambda
  • Amazon RDS / PostgreSQL
  • Amazon Redshift
  • Amazon EMR
  • Amazon SNS / SQS
  • AWS Step Functions
  • Amazon EKS / ECS
• Design and maintain secure connectivity using VPCs, subnets, security groups, and IAM roles.
• Collaborate with cloud and data engineering teams to support enterprise data pipelines and orchestration requirements.

4. Monitoring, Performance & Reliability

• Monitor MWAA environments using Amazon CloudWatch, CloudWatch Logs, CloudWatch Metrics, and Airflow UI.
• Develop monitoring dashboards, alerts, and proactive health checks.
• Troubleshoot workflow failures, scheduler issues, worker performance, and resource constraints.
• Perform root cause analysis and implement preventive measures.
• Establish operational SLAs, runbooks, recovery procedures, and platform reliability standards.

5. Security & Governance

• Implement least-privilege IAM roles and policies.
• Manage encryption using AWS Key Management Service (KMS).
• Secure Airflow web server access and connectivity to AWS resources.
• Ensure compliance with enterprise security policies and governance requirements.
• Support security audits, vulnerability assessments, and compliance initiatives.
• Manage secrets and credentials securely.

6. DevOps, CI/CD & Automation

• Build and maintain CI/CD pipelines for Airflow DAG development and deployment.
• Automate MWAA infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.
• Implement Git-based version control and deployment strategies.
• Automate environment configuration, maintenance, and operational activities.
• Support release management and deployment across multiple environments.

7. Documentation & Production Support

• Provide L2/L3 platform and production support for AWS MWAA environments.
• Participate in incident management and production on-call rotations.
• Develop and maintain architecture diagrams, operational runbooks, and technical documentation.
• Collaborate with application and data engineering teams to resolve production issues.
• Provide technical guidance and mentoring to development and platform teams.

Core Technical Skills

• Workflow Orchestration: Apache Airflow, AWS MWAA, DAG Development, Operators, Sensors, Hooks.
• AWS Services: MWAA, S3, Glue, Lambda, RDS, Redshift, EMR, SNS, SQS, Step Functions.
• Cloud Infrastructure: AWS VPC, Subnets, Security Groups, IAM, KMS.
• Monitoring: Amazon CloudWatch, CloudWatch Logs, CloudWatch Metrics, Airflow UI.
• DevOps & Automation: Terraform, CloudFormation, AWS CDK, CI/CD, Git.
• Programming: Python, SQL.
• Operations: MWAA Administration, DAG Troubleshooting, Performance Tuning, Incident Management, Production Support.

Ideal Candidate Profile

The ideal candidate should have strong hands-on experience administering AWS MWAA environments, managing Apache Airflow workflows, troubleshooting DAG execution issues, integrating Airflow with AWS services, and automating infrastructure and deployments using DevOps tools.

Thanks & Regards,

Likitha P | Floga Technologies.

Sr. Recruiter
E: likitha