Sr Data Engineering Architect
Acestack Llc
Cleveland, OH, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$107,900.0 - $195,050.0
Working hours
Regular working hours
Job source
Tech stack
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
+11 more
SQL Databases
Data Streaming
Snowflake
Apache Spark
Event Driven Architecture
Data Lakes
Pyspark
Apache Kafka
Data Management
Data Pipelines
Databricks
Job 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.
Requirements
- 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.
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