Senior Data Platform Engineer - Irving,TX
About The Position
We are looking for an experienced Senior Data Platform Engineer to design, build, and operate scalable, secure, and highly reliable enterprise data platforms. The role focuses on developing the foundational data infrastructure, platforms, frameworks, and services that enable data engineering, analytics, AI/ML, and business intelligence teams to efficiently ingest, process, store, govern, and consume data. The ideal candidate will have strong hands-on experience with cloud data platforms, data engineering, distributed systems, data pipelines, data lakes/lakehouses, orchestration, streaming, DevOps, and platform engineering.
Requirements
- Strong hands-on experience with cloud data platforms
- Data engineering experience
- Distributed systems experience
- Data pipelines experience
- Data lakes/lakehouses experience
- Orchestration experience
- Streaming experience
- DevOps experience
- Platform engineering experience
Responsibilities
- Design, develop, and maintain enterprise-grade data platforms.
- Build scalable data ingestion and processing frameworks for batch and real-time workloads.
- Develop reusable platform components and services for data engineering and analytics teams.
- Design and implement data lake, data warehouse, and lakehouse architectures.
- Build high-performance and reliable data pipelines using modern data engineering technologies.
- Develop frameworks for data ingestion from databases, APIs, SaaS applications, files, events, and streaming sources.
- Implement data processing using distributed computing technologies.
- Build and manage data orchestration and workflow automation.
- Establish platform standards for reliability, scalability, security, monitoring, and operational excellence.
- Automate infrastructure provisioning and platform deployment using Infrastructure as Code.
- Implement CI/CD pipelines for data platform components and data workloads.
- Optimize data processing, storage, compute, and cloud infrastructure costs.
- Implement platform monitoring, logging, alerting, and observability.
- Work closely with Data Architects, Data Engineers, ML Engineers, Data Scientists, DevOps, Security, and application teams.
- Support AI/ML teams by providing reliable and scalable AI-ready data infrastructure.
- Define and implement data platform security, access control, encryption, and governance.
- Troubleshoot complex platform, pipeline, performance, and infrastructure issues.
- Establish reusable engineering patterns, libraries, templates, and best practices.
- Mentor engineers and contribute to technical architecture and platform strategy.
Benefits
- Medical benefits
- Vision benefits
- Dental benefits
- 401k retirement plan
- Variable pay/incentives
- Paid time off
- Paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
