Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Data Engineer Architect III
Job
Hudson IT
Cincinnati, OH (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
82
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Job Summary We are seeking an experienced Data Engineer/Architect with strong expertise in Cloudera NiFi, data pipeline optimization, and ETL/ELT processes. This role involves assessing, enhancing, and supporting scalable data integration solutions. Key Responsibilities NiFi Platform Assessment & Optimization Evaluate existing Cloudera NiFi flows for performance, scalability, and maintainability Identify improvements to simplify architecture and reduce operational overhead Recommend best practices, reusable patterns, and standards Data Integration & Pipeline Support Develop and enhance ETL/ELT pipelines using NiFi Integrate data from databases, APIs, filesystems, streaming platforms, and cloud storage Troubleshoot pipeline failures, latency, and performance issues Implement monitoring, error handling, and recovery mechanisms Python & Custom Development Use Python for data transformation, automation, and scripting Build integrations between NiFi and external systems Governance, Security & Operations Ensure secure data movement with authentication, authorization, and encryption Support deployment, versioning, and operational processes Align platform changes with compliance and operational standards Advisory & Collaboration Act as a technical advisor to data and platform teams Document findings, recommendations, and improvements Provide knowledge transfer and long-term support guidance Required Skills Hands-on experience with Cloudera NiFi in production Strong understanding of ETL/ELT and data pipeline architecture Proficiency in Python for scripting and automation Experience with Linux and distributed systems Ability to analyze and optimize existing data systems Preferred Skills Experience with Cloudera ecosystem (Kafka, HDFS, Hive, Iceberg) Familiarity with CI/CD for data pipelines Experience in monitoring and performance tuning Exposure to cloud or hybrid data environments Engagement Expectations Hands-on, deliverables-focused role Ability to work independently and collaborate with teams Strong communication and documentation skills