What are the responsibilities and job description for the Solution Engineer Quantexa position at brainsworkgroup?
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
Qualifications
Preferred Skills
Please email your resume or use this link to apply directly:
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.
Please email your resume or use this link to apply directly:
https://brainsworkgroup.catsone.com/careers/index.php?m=portal&a=details&jobOrderID=16831508
Or email: igork@brainsworkgroup.com
Check ALL our Jobs: http://brainsworkgroup.catsone.com/careers
Keywords: Quantexa Scala DevOps Jenkins Docker Bash scripting GIT Gradle Nexus Hadoop Spark CI/CD ETL API
Or email: igork@brainsworkgroup.com
Check ALL our Jobs: http://brainsworkgroup.catsone.com/careers
Keywords: Quantexa Scala DevOps Jenkins Docker Bash scripting GIT Gradle Nexus Hadoop Spark CI/CD ETL API