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# Sr Data Engineering Architect

- **Company:** Acestack Llc
- **Location:** Cleveland, OH, United States
- **Experience:** Expert
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Fraud Prevention and Detection, Python (Programming Language), Meta-Data Management, Performance Tuning, SQL Databases, Data Streaming, Snowflake, Apache Spark, Event Driven Architecture, Data Lakes, Pyspark, Apache Kafka, Data Management, Data Pipelines, Databricks
- **Published:** August 22, 2026
- **Apply:** https://www.careerjet.com/jobad/use904ea17a8d6fc174feccfc14ecb8fb2

## About the Role

* 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.

## Description

* 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., * 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.


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