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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Architect - Data Lakehouse - **Company:** U.S. Bank - **Location:** Gresham, OR, United States - **Experience:** Expert - **Salary:** $139,230.0 - $163,800.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Engineering, Information Systems, Data Governance, Extract Transform Load (ETL), IBM DB2, IBM Cognos Business Intelligence, Identity and Access Management, Python (Programming Language), PostgreSQL, Oracle (Applications), PCI Data Security Standards, Power BI, Amazon Simple Notification Service (SNS), Tableau (Software), Azure Service Bus, Data Ingestion, Snowflake, Apache Spark, Data Lakes, Information Technology, Data Lineage, Collibra, AWS Glue, Apache Kafka, Data Management, Data Lakehouse, Cloudwatch, Amazon Simple Queue Service (SQS), Databricks - **Published:** June 3, 2026 - **Apply:** https://dejobs.org/x/x/AF7409AC7EEC4A3C8C316C09327A943B/job/ ## About the Role * Bachelor's degree, or equivalent work experience * Eight or more years of related experience Preferred Skills/Experience * Demonstrated experience analyzing business products and technology to define target/future state architecture optimized for business agility, innovation, performance, resiliency, cost, security, using both Cloud Native and On-prem solutions. * Proven track record leading cross-functional engineering teams , enforcing best practices, and aligning technical delivery with strategic architecture principles. * Leadership experience driving technology transformation, modernization, and large-scale program delivery, preferably in the banking/finance industry supporting high-volume payments products in a multi-tenant environment . * Proven track record in digital transformation , Data Lakehouse architecture, cloud migration (Azure/AWS) , application engineering and IT program management. * Proven leadership implementing data governance, security, and compliance controls aligned to PCI DSS, SOX, GDPR , and regulatory expectations. * Hands-on experience with multi-zone data lake patterns (raw, cleaned/enhanced, curated/trusted, consumption), optimized storage formats , metadata-driven ingestion, and analytics-ready data models. Enables BI, reporting, customer extracts, data science, and other use cases at enterprise scale. * Expertise in real-time and batch data ingestion architectures (Kafka/Event Hubs, Spark, Delta Lake, etc.), including leading design and management of tools/processes/services for comprehensive data ingestion and integration. * Experience leading the design and implementation of enterprise data governance frameworks , including data lineage, cataloging, business glossaries, and data quality controls. Ensures end-to-end traceability from source to consumption, improving data trust, auditability, and regulatory compliance. * Technical Skills (or similar/equivalent): AWS GLUE, IAM ROLES, LAMBDA, S3 /EFS, REDSHIFT, DMS, KAFKA/EVENT HUB, SNS, SQS, CLOUDWATCH/Event Bridge, AIRFLOW, POSTGRES/ORACLE/DB2, ETC, COLLIBRA, DATABRICKS, DELTA LAKE, PYTHON, SNOWFLAKE, SNOWPIPE / SNOWSQL, SNOWPARK, DATA MODELLING, DATA MANAGEMENT, ETL TOOLS (SPARK, ETC), POWER BI, COGNOS, TABLEAU, CI/CD PIPELINES SUPPORTING DATA LAKEHOUSE ## Description Develops high level frameworks that align IT infrastructure with business processes/data to support and enable the execution of business strategies, to improve the efficiency and productivity of business operations, and to better connect business objectives to the people, process, technology and data changes required to achieve results. Maps the relationships between information systems components (i.e., end users, business processes, applications, data, IT platform hardware/software, info security and networks). Identifies key interactions and dependencies across separate systems and platforms. 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