Sr Data Engineering Architect

•Fraud Domain-1 Realign LLC Cleveland, OH Job Details Full-time $140,000 a year 4 hours ago Qualifications KYC Roadmap creation (System development task) Data integrity assurance Data model design Data quality checks Commercial use (data warehousing systems) Transaction monitoring Performance tuning Databricks Data compliance Data modeling projects DevOps Spark System performance optimization Schema design Snowflake SQL Technical solutions implementation Event-driven architecture Data Architecture Design (Architecture design skills) Cloud database architecture Managing engineering teams Solution architecture design Data integrity process (data warehousing) Airflow Anti-Money Laundering (AML) compliance (compliance procedures implemented) Data Security (Data management) Mentoring Leading team collaboration initiatives Scalability Full Job Description Cleveland, Ohio 44101 Posted September 3rd, 2026

Job Type:

Full Time Job Category:

IT Job Description Job Title:

Sr Data Engineering Architect

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Fraud Domain Location :

Cleveland, OH (Onsite)

Fulltime Job Description Skill:

Sr Data Engineering Architect

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Fraud Domain Must Have Technical/Functional Skills:

Define and implement enterprise data architecture, data models, governance standards, and technology roadmaps for fraud and risk analytics platforms. Design and oversee scalable batch and real-time data pipelines, data lakes/lakehouses, data warehouses, and cloud-based data solutions. Partner with Fraud, Risk, Compliance, and Business teams to deliver solutions supporting fraud detection, transaction monitoring, AML, behavioral analytics, and regulatory reporting. Ensure data quality, security, lineage, compliance, performance optimization, and adherence to architecture best practices. Lead architecture reviews, mentor engineering teams, and collaborate with stakeholders to drive data modernization initiatives.

Qualifications & Skills:

10+ years of experience in Data Engineering, Data Warehousing, Analytics, or Data Management. 3+ years of experience as a Data Architect designing enterprise-scale data solutions. Strong BFSI, Payments, FinTech, or Fraud/Risk domain experience, including fraud detection, AML, KYC, transaction monitoring, and risk analytics. Expertise in Data Architecture, Data Modeling, Data Lake/Lakehouse, Data Warehouse, ETL/ELT, Data Governance, and Metadata Management. Hands-on experience with SQL, Python, Spark/PySpark, Databricks, Kafka, Airflow, Snowflake, and modern cloud platforms. Knowledge of real-time streaming, event-driven architectures, MDM, Data Mesh, and ML/AI-enabled data platforms. Strong leadership, stakeholder management, communication, and solution design skills.

Roles & Responsibilities:

Define and implement enterprise data architecture, data models, governance standards, and technology roadmaps for fraud and risk analytics platforms. Design and oversee scalable batch and real-time data pipelines, data lakes/lakehouses, data warehouses, and cloud-based data solutions. Partner with Fraud, Risk, Compliance, and Business teams to deliver solutions supporting fraud detection, transaction monitoring, AML, behavioral analytics, and regulatory reporting. Ensure data quality, security, lineage, compliance, performance optimization, and adherence to architecture best practices. Lead architecture reviews, mentor engineering teams, and collaborate with stakeholders to drive data modernization initiatives. Required Skills DevOps Engineer Performance Architect