Senior Data Engineer

Arkhya Tech. Inc.; Charlotte (NC); On-site; USD 130,000 - 180,000; Full time

Job summary

Arkhya Tech. Inc. seeks an senior Data Engineer with extensive experience to design and optimize real-time streaming and batch data pipelines. You will work across Kafka, Spark/PySpark, Python, SQL/NoSQL and graph tech to drive scalable analytics in a banking/fintech context.

The role emphasizes hands-on development, performance tuning, and collaboration with data platform teams on cloud platforms and operational data stores.

Qualifications

• Over a decade in data engineering with focus on large-scale architectures.
• Hands-on with real-time streaming and batch data pipelines.
• Experience in banking/financial services data platforms is a plus.

Responsibilities

• Build and optimize large-scale real-time streaming and batch data pipelines.
• Implement event-driven architectures and data quality controls.
• Work with graph databases and analytics to derive insights.

Skills

Kafka

Spark/PySpark

Python

SQL

NoSQL

CDC frameworks

Event-driven architectures

Tools

Neo4j

Job description

12+ years of Data Engineering experience.

Strong hands-on expertise in Kafka, Spark/PySpark, Python, SQL, NoSQL, CDC frameworks, and event-driven architectures.

Experience building large-scale real-time streaming and batch data pipelines using distributed processing systems.

Strong knowledge of operational data platforms, transaction processing, event correlation, log analytics, and performance optimization.

Banking/Financial Services experience with payments platforms and standards such as ISO 8583, ACH, RTP, SWIFT, and ISO 20022.

Hands-on experience with Neo4j, Graph Databases, Knowledge Graphs, graph analytics, observability, and transaction monitoring.

Exposure to AI/ML, GenAI analytics, and cloud platforms such as AWS, Azure, or GCP.