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Lead Data Platform Engineer

JBC powered by Workgenius

Hybrid in Plano, Texas • 3d ago

Easy Apply

Contract

Technical Lead - Data Platform Engineer

OrangePeople

Plano, Texas • Yesterday

Easy Apply

Contract

Lead Data Platform Engineer (AWS)

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Data Platform Lead

Navigant Consulting

Remote • Today

Full-time

USD 149,000.00 - 248,000.00 per year

Job Details

Skills

Data Engineering
Amazon Web Services
Amazon EC2
Amazon S3
Amazon RDS
Amazon Redshift
Apache Airflow
Artificial Intelligence
Business Intelligence
Cloud Architecture
Cloud Computing
Computer Science
Configuration Management
Continuous Integration
Data Security
Data Warehouse
Docker
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
PySpark
Python
Retail
Scripting
Snow Flake Schema
Tableau
Terraform
MicroStrategy
Extract
Transform
Load
GitLab
Grafana
IaaS
Identity Management
Jenkins
Orchestration
Optimization
Release Management
Virtual Private Cloud
Analytics
Bash
Electronic Commerce
IT Management
Problem Solving

Data Engineering
Amazon Web Services
Amazon EC2
Amazon S3
Amazon RDS
Amazon Redshift
Apache Airflow
Artificial Intelligence
Business Intelligence
Cloud Architecture
Cloud Computing
Computer Science
Configuration Management
Continuous Integration
Data Security
Data Warehouse
Docker
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
PySpark
Python
Retail
Scripting
Snow Flake Schema
Tableau
Terraform
MicroStrategy
Extract
Transform
Load
GitLab
Grafana
IaaS
Identity Management
Jenkins
Orchestration
Optimization
Release Management
Virtual Private Cloud
Analytics
Bash
Electronic Commerce
IT Management
Problem Solving

Summary

Lead Data Platform Engineer with Top Clothing Retailer / Department Store Chain

Job Tite: Lead Data Platform Engineer

Start Date: 9/22/26

End Date: 1/30/27

Location: Plano, TX (Hybrid)

Rate: up to $72.99/HR W2

Job Description:

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.

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.

Preferred Qualifications:

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10441030
Position Id: LDPE_Plano
Posted 4 days ago

Fitment

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Job Details

Skills

Data Engineering
Amazon Web Services
Amazon EC2
Amazon S3
Amazon RDS
Amazon Redshift
Apache Airflow
Artificial Intelligence
Business Intelligence
Cloud Architecture
Cloud Computing
Computer Science
Configuration Management
Continuous Integration
Data Security
Data Warehouse
Docker
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
PySpark
Python
Retail
Scripting
Snow Flake Schema
Tableau
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MicroStrategy
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Transform
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Grafana
IaaS
Identity Management
Jenkins
Orchestration
Optimization
Release Management
Virtual Private Cloud
Analytics
Bash
Electronic Commerce
IT Management
Problem Solving

Data Engineering
Amazon Web Services
Amazon EC2
Amazon S3
Amazon RDS
Amazon Redshift
Apache Airflow
Artificial Intelligence
Business Intelligence
Cloud Architecture
Cloud Computing
Computer Science
Configuration Management
Continuous Integration
Data Security
Data Warehouse
Docker
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
PySpark
Python
Retail
Scripting
Snow Flake Schema
Tableau
Terraform
MicroStrategy
Extract
Transform
Load
GitLab
Grafana
IaaS
Identity Management
Jenkins
Orchestration
Optimization
Release Management
Virtual Private Cloud
Analytics
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Problem Solving

Summary

Lead Data Platform Engineer with Top Clothing Retailer / Department Store Chain

Job Tite: Lead Data Platform Engineer

Start Date: 9/22/26

End Date: 1/30/27

Location: Plano, TX (Hybrid)

Rate: up to $72.99/HR W2

Job Description:

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.

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.

Preferred Qualifications:

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.

Dice Id: 10441030
Position Id: LDPE_Plano
Posted 4 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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