Lead Platform Engineer

Employment Type: Full time

City: Dallas

State: Texas

Open for Contract to Hire also

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

Description:

We are looking for a Lead Platform Engineer to drive the design, automation, and reliability of our modern data and analytics platform. This role will focus on building and managing scalable, secure, and high-performing infrastructure across a growing and evolving ecosystem of data and analytics technologies.

While current platforms include MicroStrategy, Snowflake, AWS, Airflow, and Tableau, this role requires a proactive, adaptable engineer who can continuously learn, evaluate, and integrate new tools as business needs evolve.

You will work at the intersection of platform engineering and data operations, enabling seamless deployment, monitoring, and governance of data and analytics solutions. This role combines hands-on platform engineering expertise with platform ownership and cross-functional collaboration, partnering with data engineering, analytics, and business teams to deliver resilient and efficient systems.

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.