Lead Platform Engineer

Lead Platform Engineer

Location: Dallas, TX (Onsite) - Hybrid for 3 days or someone willing to relocate

Type: Full Time

Need someone asap

Primary 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.

· Continuously evaluate, adopt, and integrate new platforms and tools as the data ecosystem evolves.

· Lead platform standardization while remaining adaptable to emerging technologies and changing business needs.

· Drive continuous improvement by identifying opportunities to modernize or replace existing tooling.

· 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.

Basic Qualifications:

· 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.

· Demonstrated ability to quickly learn and adopt new technologies in a changing environment

· Experience working in evolving platform ecosystems where tools and priorities shift over time

Preferred Qualifications:

· Experience with data platform ecosystems and integration with data warehouses like Snowflake or Redshift.

· Experience evaluating and introducing new tools or platforms into production environments

· Familiarity with data pipeline orchestration tools such as Apache Airflow.

· Experience implementing Platform practices for BI and analytics tools, especially MicroStrategy and Tableau.

· 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.