Sr Data Engineering Architect

Acestack Llc

Cleveland, OH, United States

14 days 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

www.careerjet.com

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.