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Lead Data Platform Engineer

ICONMA, LLC

Job Description

Job Description

Our client, a Retail and Departmental Stores company, is looking for a Lead Data Platform Engineer for their Plano, TX/ Hybrid location.

Responsibilities:
  • Design, implement, and manage cloud infrastructure and platform services across AWS, Datameer, Tableau, MicroStrategy, Snowflake, Airflow etc.
  • Build and maintain CI/CD pipelines for data and analytics applications, ensuring reliable and automated deployments.
  • Manage infrastructure as code (IaC) using tools such as Terraform or CloudFormation.
  • Ensure platform reliability through monitoring, alerting, logging, and incident response practices.
  • Optimize performance, scalability, and cost across cloud environments and analytics platforms.
  • Implement security best practices, including identity management, data protection, and compliance controls.
  • Collaborate with data engineering, analytics and cross-functional teams to enable efficient data workflows and platform usage.
  • Automate operational processes to improve efficiency and reduce manual intervention.
  • Support environment provisioning, configuration management, and release management processes.
  • Contribute to platform governance, including access controls, auditability, and operational standards.
  • Provide technical leadership, set platform standards, and mentor engineers contributing to the analytics platform.
  • Participate in on-call rotations and lead incident response for platform-related outages.
Requirements:
  • Bachelor’s degree in computer science, engineering, or related field with 5+ years of platform or platform engineering experience.
  • Strong experience with Snowflake, MicroStrategy and Tableau platform administrative management & support.
  • Strong experience with AWS services such as EC2, S3, Lambda, RDS, CloudWatch, IAM, and VPC.
  • Hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or similar.
  • Experience with infrastructure as code (Terraform, CloudFormation).
  • Experience managing and supporting analytics platforms such as Airflow, Datameer and Tableau.
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Experience with scripting languages such as PySpark, Python, Bash, or similar.
  • Familiarity with monitoring and observability tools (CloudWatch, Prometheus, Grafana, etc.).
  • Understanding of networking, security, and cloud architecture principles.
  • Strong troubleshooting and problem-solving skills.
  • Excellent communication skills with the ability to work cross-functionally.
  • Experience with data platform ecosystems and integration with AWS services
  • Familiarity with data pipeline orchestration tools such as Apache Airflow.
  • Experience implementing Platform practices for BI and analytics tools, especially MicroStrategy and Tableau.
  • Experience with data warehouses like Snowflake or Redshift.
  • Knowledge of Datameer platform administration, optimization, and troubleshooting
  • Experience with secrets management tools (AWS Secrets Manager, HashiCorp Vault).
  • Experience implementing security and compliance frameworks in cloud environments.
  • Familiarity with cost optimization strategies for cloud infrastructure.
  • Experience working in retail, e-commerce, or consumer-facing environments.
  • Exposure to AI/ML platform deployment and MLOps practices.
Why Should You Apply?
  • Health Benefits
  • Referral Program
  • Excellent growth and advancement opportunities
Vacancy posted 2 days ago
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