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)

10 years of experience in Big Data / Data Engineering
Strong expertise in:

Apache Spark (Core, SQL, Streaming)
Java development

Hands-on experience with:

Apache Cassandra (NoSQL database)
Kubernetes (K8s)

Strong understanding of:

Distributed systems and large-scale data processing
Data pipeline architecture (batch & streaming)

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

Total 15 years of IT experience
10 years of relevant experience
Bachelor s or Master s degree in Computer Science, Engineering, or related field
Certifications: Not mandatory

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

Big Data Architect Spark / Cassandra

Key skills

About this role