Position: Big Data Architect Spark / Cassandra
Location: Cincinnati, OH 45202
Duration: 6 Months Contract
Start Date: Immediate / 16-Apr-2026
Interview Mode: Video Interview
Visa: & GC
Rate:
$66/hour On C2C
$60/hour On W2
Role Overview
We are seeking an experienced Big Data Technology Architect with deep expertise in Apache Spark, Java, and distributed data processing systems. The ideal candidate will lead the architecture, design, and implementation of scalable data platforms, working with high-volume, real-time, and batch data pipelines.
This role requires strong hands-on experience with NoSQL databases (Cassandra) and containerized environments (Kubernetes).
Key Responsibilities
- Provide technology consulting and architectural guidance for big data solutions
- Define solution architecture, scope, and effort estimation
- Design and implement scalable data processing pipelines using Apache Spark
- Develop high-performance applications using Java and distributed computing frameworks
- Work with Apache Cassandra for large-scale data storage and retrieval
- Deploy and manage applications in Kubernetes (K8s) environments
- Collaborate with cross-functional teams to deliver end-to-end data solutions
- Ensure performance optimization, scalability, and fault tolerance
- Drive best practices in data engineering, architecture, and DevOps
- Mentor team members and provide technical leadership
Required Skills (Mandatory)
Preferred Skills (Nice to Have)
- Experience with:
- CI/CD pipelines
- Docker & containerization
- Kubernetes orchestration
- Exposure to:
- Azure Cloud platform
- Cloud-native data architectures
Experience & Qualifications
Top Responsibilities (Client Expectations)
- Technical Leadership Lead and mentor the team, drive architecture decisions
- Client Communication Act as primary technical point of contact, clarify requirements
- Solution Delivery Design and implement scalable big data solutions
Work Model
- Onsite/Hybrid (as per client expectation in Cincinnati, OH)
- No travel required
Ideal Candidate Profile
- Strong hands-on Spark Architect (not just high-level design)
- Experience building large-scale distributed data systems
- Expertise in real-time and batch data processing
- Proven ability to lead teams and interact with clients directly