Sr Data Engineering Architect – Fraud Domain
Job in
Cleveland, Cuyahoga County, Ohio, 44101, USA
Listed on 2026-09-17
Listing for:
REALIGN LLC
Full Time, Seasonal/Temporary
position Listed on 2026-09-17
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Information Security & Data Protection, Data Analyst
Job Description & How to Apply Below
Job Description
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/lake houses, 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, Fin Tech, 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.
- 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/lake houses, 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.
Job Title: Sr Data Engineering Architect – Fraud Domain
Location :
Cleveland, OH (Onsite)
Fulltime
Job Description
Skill:
Sr Data Engineering Architect – 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/lake houses, 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, Fin Tech, 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…
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