U.S. Bancorp

1 week ago

Data Engineering Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Design and evolve modern, cloud-native data platforms that power enterprise data products, analytics, and AI-enabled solutions. Build scalable architecture patterns (lakehouse, medallion, domain-driven), plan batch/real-time/streaming and CDC/event-driven pipelines, and enable DataOps capabilities like observability, data quality, lineage, and operational readiness. Partner with engineering, product, architecture, and data science teams to translate requirements into architecture designs and help teams deliver reliable, secure, maintainable solutions.

Location: Texas

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Define and implement architecture patterns for lakehouse, medallion, and domain-driven data platforms.
•Design batch, real-time, streaming, CDC, and event-driven data pipelines and solutions with scalability, performance, reliability, and resiliency.
•Design reusable data products, models, and semantic layers supporting analytics and business outcomes.
•Create reusable frameworks, templates, and best practices, and support DataOps capabilities such as observability, data quality, lineage, and operational readiness.
•Partner across product, engineering, architecture, and data science teams to translate requirements into architecture designs and provide technical guidance.

Pay and Benefits

Salary: USD 119,765 - 140,900 annually

Perks:Health InsuranceDentalVision401kPaid LeaveLife InsuranceParental LeaveRetirement

Key Requirements

•Bachelor's degree, or equivalent work experience.
•Eight or more years of relevant experience.
•Experience designing modern data platforms using Databricks, Snowflake, or similar technologies.
•Strong distributed data processing skills using Python, PySpark, and SQL.
•Experience designing batch, streaming, CDC, and event-driven data solutions.

Experience:8+ yearsData platformsCloud-nativeData engineeringAIAnalytics

Education:Bachelor's

Skills:Solving complex technical challengesBuilding reusable frameworksTechnical guidanceArchitectural expertiseCollaboration

Tech Stack:DatabricksSnowflakePythonPySparkSQLKafkaSparkAzureAWSLakehouseMedallionSemantic layersCDCStreamingEvent-drivenDataOpsObservabilityData qualityLineageSLAs

Company Brief

U.S. Bancorp

U.S. Bancorp is the parent company of U.S. Bank, providing consumer, business, and institutional banking services including lending, payments, treasury management, wealth management, and merchant solutions across the United States.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Minneapolis, United States

Founded: 1863

Glassdoor: 3.8

Website LinkedIn Glassdoor

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U.S. Bancorp

1 week ago

Data Engineering Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Texas

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Define and implement architecture patterns for lakehouse, medallion, and domain-driven data platforms.
•Design batch, real-time, streaming, CDC, and event-driven data pipelines and solutions with scalability, performance, reliability, and resiliency.
•Design reusable data products, models, and semantic layers supporting analytics and business outcomes.
•Create reusable frameworks, templates, and best practices, and support DataOps capabilities such as observability, data quality, lineage, and operational readiness.
•Partner across product, engineering, architecture, and data science teams to translate requirements into architecture designs and provide technical guidance.

Pay and Benefits

Salary: USD 119,765 - 140,900 annually

Perks:Health InsuranceDentalVision401kPaid LeaveLife InsuranceParental LeaveRetirement

Key Requirements

•Bachelor's degree, or equivalent work experience.
•Eight or more years of relevant experience.
•Experience designing modern data platforms using Databricks, Snowflake, or similar technologies.
•Strong distributed data processing skills using Python, PySpark, and SQL.
•Experience designing batch, streaming, CDC, and event-driven data solutions.

Experience:8+ yearsData platformsCloud-nativeData engineeringAIAnalytics

Education:Bachelor's

Skills:Solving complex technical challengesBuilding reusable frameworksTechnical guidanceArchitectural expertiseCollaboration

Tech Stack:DatabricksSnowflakePythonPySparkSQLKafkaSparkAzureAWSLakehouseMedallionSemantic layersCDCStreamingEvent-drivenDataOpsObservabilityData qualityLineageSLAs

Company Brief

U.S. Bancorp

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Minneapolis, United States

Founded: 1863

Glassdoor: 3.8

Website LinkedIn Glassdoor