NexZenTek Solutions IncRemote
Data & AI Platform Engineer
United States of America
Full Time
4 hours ago
H1B Sponsor Likely
Key skills
PythonSQLAIMLOpsData EngineeringAnalyticsDatabricksSparkApache SparkSAPAgileCI/CDLeadershipCommunicationCollaboration
About this role
NexZenTek Solutions Inc is seeking a Senior Data & AI Platform Engineer to support a premier national transportation leader. This pivotal role focuses on architecting and scaling a unified data ecosystem while leading the design of automated pipelines and MLOps frameworks.
Responsibilities:
- Architectural Leadership: Lead the evolution of a scalable Data & AI platform, integrating Databricks , SAP (Datasphere/S/4) , and Denodo virtualization into a governed, self-service ecosystem
- Solution Delivery: Act as a hands-on lead developer for complex data pipelines, feature stores, and API-driven integrations that power enterprise-wide analytics and digital experiences
- MLOps & Automation: Design and implement production-grade MLOps pipelines , including versioning, CI/CD, and monitoring to accelerate the deployment of intelligent models
- Engineering Excellence: Establish and enforce standards for ingestion, transformation, and "governance-as-code" controls embedded directly into technical workflows
- Mentorship: Foster a culture of excellence by providing technical guidance, code reviews, and professional development for junior and mid-level engineers
- Strategic Collaboration: Partner with architects, product owners, and governance leads to align technical solutions with the broader enterprise data roadmap
Requirements:
- Bachelor's degree in Computer Science, Data Engineering, or a related technical field (equivalent experience considered)
- 4–6 years of deep technical experience in data engineering, software development, or data architecture
- Advanced expertise in Python and SQL with significant experience in Apache Spark and modern Lakehouse architectures (Databricks preferred)
- Proven experience building MLOps pipelines and internal platform services such as feature stores or semantic layers
- Strong understanding of API-first and event-driven architectures, secure service-to-service communication, and RBAC security
- Demonstrated ability to lead multi-functional teams through technical challenges within a scaled Agile environment
- Exceptional communication and problem-solving abilities, with the capacity to explain complex technical concepts to diverse stakeholders