> Markdown version of [/jobs/ext/2697649-data-architect](https://www.wearedevelopers.com/jobs/ext/2697649-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Omega, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Governance, Data Structures, Data Systems, Metadata, Meta-Data Management, Oracle (Applications), Reference Data, Cloud Services, SAS (Software), Data Streaming, Enterprise Data Management, Google Cloud, Data Lakes, Integration Frameworks, Actimize - **Published:** September 3, 2026 - **Apply:** https://www.dice.com/job-detail/bb4c9d88-1eda-48a0-9278-875d2c1e62b6 ## About the Role * 10+ years in Data Architecture, Data Engineering, or Enterprise Data Management. * 5+ years of experience in Financial Crimes, Compliance, Risk, AML, KYC, Fraud, or Regulatory Reporting domains. * Strong understanding of customer, account, transaction, alert, case, and regulatory reporting data models. * Experience with data governance, data quality, metadata management, lineage, and master/reference data. * Expertise in cloud data platforms (AWS, Azure, or Google Cloud Platform), data lakes, warehouses, and integration frameworks. * Strong stakeholder management and ability to work with business, compliance, and technology leadership. * Preferred Skills * Experience with Actimize, SAS AML, NICE, Oracle FCCM, or similar FCC platforms. * Knowledge of OFAC, BSA/AML, FinCEN, FATF, KYC/CDD/EDD, sanctions, and fraud regulations. * Familiarity with AI/ML-enabled Financial Crime analytics and detection platforms. * Experience leading large-scale data transformation and modernization programs. * Ideal Profile: A practitioner who can speak equally well with Compliance Officers, AML Investigators, Risk Leaders, and Engineering Teams while building a scalable, governed, and regulatory-ready Financial Crimes data ecosystem. ## Description * We are seeking an experienced Data Architect with deep expertise in Financial Crimes Compliance (FCC), AML, KYC, Sanctions Screening, Fraud, and Regulatory Reporting. The role is responsible for defining how data is sourced, modeled, integrated, governed, and consumed across the Financial Crimes ecosystem. The ideal candidate will bridge business, compliance, risk, and technology teams to establish scalable, regulatory-compliant data architectures that support detection, monitoring, investigation, and reporting capabilities * Key Responsibilities * Define target-state data architecture and data domain strategy for Financial Crimes and Risk platforms. * Design end-to-end data flows across customer, account, transaction, onboarding, KYC, sanctions, AML, fraud, and case management systems. * Establish logical and physical data models, canonical data structures, and integration patterns. * Define data sourcing, lineage, quality, metadata, governance, and stewardship requirements. * Partner with compliance, risk, operations, and technology teams to translate regulatory requirements into data solutions. * Drive cloud-based data modernization initiatives and support enterprise data platforms. * Ensure data architectures meet auditability, traceability, privacy, and regulatory compliance requirements. * Support implementation of AML monitoring, sanctions screening, transaction monitoring, customer risk rating, case management, and regulatory reporting solutions ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it)