Technical Manager/Architect
Listed on 2026-06-05
-
IT/Tech
Data Engineer, Data Science Manager
Location: Irving, TX
Employment Type: Full-Time
We are seeking a highly experienced Technical Manager / Architect with strong hands‑on engineering leadership and deep expertise in cloud-native architectures, data-intensive systems, and modern AI-enabled platforms
. This role requires end-to-end ownership of solution design and delivery across backend services, data pipelines, and user interface layers, with a strong focus on Financial Crimes, risk analytics, and regulatory compliance domains
.
The ideal candidate will combine architectural depth with hands‑on engineering capability, driving scalable, secure, and high-performance systems using Java, Python, Spark, GCP, and modern GenAI frameworks
.
Technical & Hands-On Leadership
- Act as a hands-on Technical Manager
, actively contributing to system design, development, code reviews, and architectural decision-making across backend, data, and UI layers. - Lead end-to-end solution delivery from requirements gathering, design, development, testing, deployment, and production support
. - Design and oversee cloud-native microservices architectures using Java and Python
, integrated with large-scale data processing frameworks such as Apache Spark and GCP data services
.
Engineering Excellence & Metrics
- Define and enforce engineering quality standards and metrics
, including code quality, test coverage, performance SLAs, scalability, reliability, and security benchmarks. - Drive adoption of CI/CD pipelines, Dev Sec Ops practices, automated testing frameworks, and observability tools for high-quality and predictable releases.
- Ensure compliance with enterprise architecture standards, data governance policies, and regulatory requirements
, particularly for Financial Crimes systems.
Data, GenAI & Analytics Platforms
- Lead the design and implementation of enterprise data platforms and operating models supporting Financial Crimes analytics, investigations, risk scoring, and regulatory reporting.
- Architect and integrate GenAI solutions (LLMs, RAG architectures, and model orchestration frameworks) into enterprise data ecosystems to enhance detection and investigation capabilities.
- Oversee development of large-scale batch and streaming data pipelines using Spark, Python, and GCP-native services to process high-volume transactional and operational data.
UI & Experience Layer
- Guide the development of modern React
JS-based front-end applications for investigator workflows, dashboards, and operational monitoring tools. - Ensure seamless end-to-end integration between UI, APIs, microservices, and data/analytics layers with strong focus on performance and usability.
Stakeholder & Team Leadership
- Serve as the primary technical interface between business stakeholders, product owners, compliance teams, and engineering groups
. - Mentor and develop senior engineers, fostering a culture of ownership, accountability, and continuous improvement
. - Support Agile delivery planning
, including estimation, risk management, dependency tracking, and release governance.
- Hands-on Technical Leadership across full-stack systems
- End-to-End Solution Ownership and Delivery Accountability
- Engineering Metrics, Quality Governance, and Dev Sec Ops Practices
- GenAI / LLM Integration and Advanced Analytics Enablement
- Cloud-Native Architecture (GCP-focused) and Data Engineering at Scale
- Financial Crimes / Risk / Compliance Domain Understanding
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