Solution Engineer Quantexa

BRAINS WORKGROUP, INC.; New York (NY); Hybrid; USD 140,000 - 160,000; Full time

Job summary

BRAINS WORKGROUP, INC. in New York is seeking a Solution Engineer with Quantexa Platform experience to support end-to-end delivery of transaction monitoring solutions.

This hybrid role involves collaboration with architecture, engineering, and business stakeholders to ensure scalable, secure analyses. You will work on data ingestion, entity resolution, network analytics, and integration patterns, while contributing to demos, docs, and best practices.

Qualifications

• Bachelor’s or Master’s degree in computer science, information technology, data science, or related field.
• 5+ years of solution engineering, technical consulting, or implementation experience delivering data/analytics platforms.
• Hands-on experience with the Quantexa platform and data pipelines; ability to explain technical concepts to non-technical audiences.

Responsibilities

• Support end-to-end delivery of transaction monitoring solutions on the Quantexa platform.
• Contribute to solution architecture and implementation design including data ingestion and analytics patterns.
• Build demos, prototypes, and proof-of-concepts to showcase value to stakeholders.
• Assist integration with enterprise systems and perform performance/resilience analyses.
• Translate designs into delivery epics/stories and support troubleshooting and release readiness.

Skills

Quantexa platform

Data pipelines

Spark

Azure cloud

Git CI/CD

Communication skills

Education

Bachelor’s or Master’s in CS/IT/DS

Tools

CI/CD tooling

Job description

Our client, a major bank in New York City, is looking for Solution Engineer with Quantexa Platform experience.

New York City Location.

This is hybrid commute, 5 days per 2 weeks in the office.

Salary range 140-160K, plus around 15% bonus, plus great benefits package.

Solution Engineer - Quantexa Platform

In this role you will support the end-to-end delivery of transaction monitoring solutions on the Quantexa platform by translating business needs into scalable, secure, and high-performing data and analytics solutions.

This is a hands-on delivery and enablement role that partners with the Technical Lead (VP) and engineering teams across architecture execution, integration build-out, testing, and release activities. You will contribute to engineering best practices, produce high-quality solutions, and help ensure reliable production deployments through effective coordination and troubleshooting.

Key Responsibilities

• Support technical discovery with business, data, and engineering stakeholders to understand objectives, data landscape, and success criteria for Quantexa use cases; capture outcomes and inputs for solution design.
• Contribute to solution architecture and implementation design on the Quantexa platform (data ingestion, entity resolution, network generation, analytics, and integration patterns) by drafting options, documenting decisions, and supporting reviews.
• Build and deliver platform demonstrations, prototypes, and proof-of-concepts, including data modeling, pipeline configuration, and analytic outputs to showcase value.
• Support integration with enterprise systems (data sources, APIs, messaging, identity, and security) by helping define interface requirements, validating assumptions, and assisting with performance, scalability, and resilience analysis.
• Partner with the Technical Lead (VP) and implementation teams to translate solution designs into delivery epics/stories; support delivery execution and help unblock teams through hands-on troubleshooting.
• Support release readiness by validating environments, deployment approaches, and operational runbooks; assist with production issue triage and coordination as needed.
• Create technical documentation (architecture diagrams, configuration notes, data mappings, and admin guidance) and enablement materials.
• Stay current on Quantexa features, accelerators, and best practices; share learnings and contribute reusable assets (demo datasets, templates, reference architectures).

Qualifications

• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field (or equivalent practical experience).
• 5+ years of experience in solution engineering, technical consulting, or implementation roles delivering data/analytics platforms.
• Hands-on experience with the Quantexa platform (configuration, data pipelines, entity resolution, network analytics) and the ability to explain technical concepts to non-technical audiences.
• Strong understanding of data integration patterns (batch/streaming), ETL/ELT concepts, APIs, and data quality/lineage practices.
• Proficiency with modern engineering tools and delivery practices (e.g., Git, CI/CD pipelines, artifact repositories) and comfort working in agile delivery models.
• Experience with big data and distributed processing concepts (e.g., Spark) and familiarity with Scala and/or Python.
• Experience working on cloud computing platforms (Azure preferred).
• Excellent written and verbal communication skills, with proven ability to support workshops, communicate technical concepts clearly, influence stakeholders, and drive closure on action items.

Preferred Skills

• Experience in financial crime, fraud, AML transaction monitoring, or customer intelligence use cases.
• Experience designing entity resolution and graph/network analytics solutions, including tuning and evaluation approaches.
• Exposure to MLOps/ModelOps, feature engineering, and model integration patterns in production environments.
• Certification in Quantexa or related data analytics technologies is a plus.