Solution Engineer - Quantexa Platform

2 months ago

Base Salary

$81k - $160k/yr

Responsibilities

Support technical discovery with business, data, and engineering stakeholders for Quantexa use cases.
Contribute to solution architecture and implementation design covering data ingestion, entity resolution, network generation, analytics, and integration patterns.
Build demonstrations, prototypes, and proof-of-concepts involving data modeling, pipeline configuration, and analytic outputs.
Support integration with enterprise data sources, APIs, messaging, identity, and security systems.
Translate solution designs into delivery epics and stories and help unblock implementation teams through hands-on troubleshooting.
Support release readiness by validating environments, deployment approaches, operational runbooks, and production issue triage.
Create architecture diagrams, configuration notes, data mappings, administrator guidance, and enablement materials.
Stay current on Quantexa capabilities and contribute reusable datasets, templates, and reference architectures.

Bachelor's or master's degree in computer science, information technology, data science, or a related field, or equivalent practical experience.
At least 5 years of experience in solution engineering, technical consulting, or implementation roles delivering data and analytics platforms.
Hands-on experience configuring and delivering Quantexa platform capabilities, including data pipelines, entity resolution, and network analytics.
Strong understanding of batch and streaming data integration, ETL/ELT concepts, APIs, data quality, and data lineage.
Proficiency with engineering tools and delivery practices such as Git, CI/CD pipelines, and artifact repositories, plus comfort with agile delivery models.
Experience with big data and distributed processing concepts such as Spark and familiarity with Scala and/or Python.
Experience with cloud computing platforms, preferably Azure.
Strong written and verbal communication skills, including workshop facilitation, technical explanation, stakeholder influence, and action-item ownership.
Preferred experience includes financial crime, fraud, AML transaction monitoring, customer intelligence, entity resolution, graph or network analytics, MLOps/ModelOps, feature engineering, and production model integration.
Quantexa or related data analytics certification is a plus.

Competitive benefits package and eligibility for a discretionary bonus in addition to base salary.
Hybrid working program with remote-work opportunities varying by role, department needs, local laws, and regulatory obligations.
Expected base salary range of $81k-$160k.
Mizuho is an EEO/AA Employer and participates in E-Verify.