UMB Bank · 12 hours ago
AI Cloud Data Engineer
UMB Bank is focused on leveraging Artificial Intelligence to enhance customer experience and improve operational efficiency. As an AI Cloud Data Engineer, you will design and optimize cloud-based data pipelines to support enterprise AI/ML workloads while ensuring data quality and compliance across various initiatives.
BankingFinanceFinancial Services
Responsibilities
Design and develop cloud-native data pipelines to support AI/ML training, validation, and inference
Build and optimize data lakes, warehouses, and lakehouse environments (e.g., Delta Lake, Apache Iceberg) in the cloud
Collaborate with AI Data Architect and AI Cloud Architect to ensure data platforms meet enterprise standards
Automate ETL/ELT workflows and orchestration using tools such as Airflow, Glue, and Dataflow
Ensure compliance with financial data security, governance, and regulatory requirements (GLBA, GDPR, OCC, FFIEC)
Integrate structured, unstructured, and streaming data sources from banking systems, payment hubs, and customer channels
Implement monitoring and observability solutions for cloud-based data pipelines
Optimize data workflows for performance, scalability, and cost efficiency in cloud environments
Support disaster recovery, resiliency, and data availability strategies for AI platforms
Troubleshoot data pipeline, integration, and cloud deployment issues
Qualification
Required
Bachelor's degree in Computer Science, Data Engineering, Cloud Computing, or related field and at least 3 years of experience in cloud data engineering or enterprise data integration, OR equivalent combination of education and work experience
Proficiency with at least one major cloud platform (AWS, Azure, GCP)
Experience with SQL and programming languages such as Python, Scala, or Java
Familiarity with containerization and orchestration (Docker, Kubernetes)
Expertise in data pipeline frameworks (Apache Spark, Kafka, Flink, Dataflow)
Knowledge of cloud-native data services (AWS Redshift, Glue, Snowflake, BigQuery, Azure Synapse)
Familiarity with MLOps and integrating data workflows with AI model lifecycle
Strong understanding of data governance, lineage, and metadata management
Ability to design fault-tolerant, secure, and scalable data workflows in the cloud
Preferred
Master's degree in Data Science, Cloud Engineering, or related discipline and at least 5 years of experience in cloud data engineering within financial services or regulated industries
AWS Certified Data Analytics Specialty, Google Professional Data Engineer, or Microsoft Azure Data Engineer Associate
Experience with regulatory reporting and AI-ready data pipelines
Background in high-volume financial data systems or real-time payments
Hands-on experience with Lakehouse technologies (Delta Lake, Apache Iceberg, Hudi)
Knowledge of distributed data architectures and data mesh patterns
Familiarity with AI observability tools and data drift monitoring
Experience with privacy-preserving technologies and secure data-sharing frameworks
Deep understanding of cloud cost optimization for data-intensive AI workloads
Benefits
Paid Time Off
A 401(k) matching program
Annual incentive pay
Paid holidays
A comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage
Health savings
Flexible spending, and dependent care accounts
Adoption assistance
An employee assistance program
Fitness reimbursement
Tuition reimbursement
An associate wellbeing program
An associate emergency fund
Various associate banking benefits
Company
UMB Bank
UMB Financial Corporation is a commercial bank that offers various financial services.
Funding
Current Stage
Public CompanyTotal Funding
$606.13M2025-05-29Post Ipo Equity· $294.53M
2024-04-29Post Ipo Equity· $201.6M
2022-09-23Post Ipo Debt· $110M
Leadership Team
Recent News
Life Insurance International
2026-01-15
2026-01-09
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