Sr. Data Engineer, Data Innovation and Tools Rationalization
Job Description
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever\-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
**Job Description**
-------------------
We are seeking a highly skilled Senior Data Engineer to join the Data Innovation \& Tools rationalization team within the Enterprise Data Office. This role plays a key hands‑on leadership role in advancing the modernization of enterprise data capabilities by designing, building, and scaling reusable data product engineering patterns aligned with the Enterprise Data Strategy.
**About the Data Innovation and Tools Rationalization Team**
We are the innovation and tooling engine for the Enterprise Data Office, focused on reusable patterns, accelerators, and tool rationalization that reduce friction and speed up delivery and adoption of governed data products.
**Vision \|** Make data products and AI capabilities easier to build, safer to deploy, and faster to adopt across the bank.
**Mission \|** Deliver reusable data product patterns, accelerators, and clear integration pathways that help teams ship data products faster while enabling safer AI adoption and reducing technology sprawl through disciplined tool evaluation and rationalization.
**Values \|** In addition to U.S. Bank core values, we prioritize:
**Head high**: We build with excellence. Our work is intentional, high‑quality, and designed to last, so we are always proud of what we deliver and comfortable standing behind it.
**Accountability Over Activity**: We take end‑to‑end accountability, from problem framing through delivery, adoption, and outcomes.
**Strategic Intelligence**: We think in systems, anticipate downstream impact, and collaborate to win as a pod, not as individuals.
**Relentless Craft**: We are passionate about the work we do. Our drive comes from curiosity, purpose, and a genuine love of building impactful solutions.
**About the Role**
We are seeking a highly skilled and forward\-thinking Senior Data Engineer to join the Data Innovation and Tools Rationalization team. This role is focused on building and scaling next\-generation data product engineering patterns that enable faster, more consistent, and more reliable delivery across the enterprise.
The ideal candidate will combine strong hands‑on engineering skills with a product mindset and the ability to provide technical leadership across teams. You will design and evolve reusable frameworks, influence engineering standards, evaluate emerging technologies, and partner closely with execution and enablement teams to operationalize modern data patterns at scale.
This role plays a critical part in accelerating platform adoption, improving developer productivity, and reducing fragmentation across data and analytics solutions.
**Key Activities**
Key responsibilities include:
* Designing, building and owning next\-generation data product engineering patterns on modern cloud platforms including Snowflake and Databricks.
* Providing technical guidance and mentorship to other data engineers, promoting consistent engineering practices and high‑quality solutions.
* Developing reusable engineering assets such as frameworks, build kits, CI/CD templates, and performance optimization approaches.
* Partnering with Enablement and Execution teams to operationalize and scale data engineering patterns across delivery teams, serving as a technical point of reference for adoption and implementation.
* Evaluating, testing, and experimenting with emerging data and AI tools, platforms, and services.
* Participate in technical proofs of concept, comparing alternative solutions, and making data\-driven recommendations for platform and tool rationalization.
* Documenting project outcomes, transition plans, adoption guides, and solution usage scripts to support enterprise rollout.
* Supporting platform modernization efforts through hands\-on development, tuning, and optimization.
* Collaborating with data product owners, architects, and platform teams to align engineering solutions with enterprise data strategy.
This role requires effective communication and collaboration skills, along with the ability to work effectively with stakeholders across data, technology, and product owner teams. The successful candidate will bring deep technical fluency across modern data platforms, analytics tools, and cloud capabilities, and will contribute to advancing the Enterprise Data Strategy through hands‑on engineering, technical leadership, and continuous improvement.
**Core Competencies:**
**Knowledge**:
* Deep understanding
**Job Description**
-------------------
We are seeking a highly skilled Senior Data Engineer to join the Data Innovation \& Tools rationalization team within the Enterprise Data Office. This role plays a key hands‑on leadership role in advancing the modernization of enterprise data capabilities by designing, building, and scaling reusable data product engineering patterns aligned with the Enterprise Data Strategy.
**About the Data Innovation and Tools Rationalization Team**
We are the innovation and tooling engine for the Enterprise Data Office, focused on reusable patterns, accelerators, and tool rationalization that reduce friction and speed up delivery and adoption of governed data products.
**Vision \|** Make data products and AI capabilities easier to build, safer to deploy, and faster to adopt across the bank.
**Mission \|** Deliver reusable data product patterns, accelerators, and clear integration pathways that help teams ship data products faster while enabling safer AI adoption and reducing technology sprawl through disciplined tool evaluation and rationalization.
**Values \|** In addition to U.S. Bank core values, we prioritize:
**Head high**: We build with excellence. Our work is intentional, high‑quality, and designed to last, so we are always proud of what we deliver and comfortable standing behind it.
**Accountability Over Activity**: We take end‑to‑end accountability, from problem framing through delivery, adoption, and outcomes.
**Strategic Intelligence**: We think in systems, anticipate downstream impact, and collaborate to win as a pod, not as individuals.
**Relentless Craft**: We are passionate about the work we do. Our drive comes from curiosity, purpose, and a genuine love of building impactful solutions.
**About the Role**
We are seeking a highly skilled and forward\-thinking Senior Data Engineer to join the Data Innovation and Tools Rationalization team. This role is focused on building and scaling next\-generation data product engineering patterns that enable faster, more consistent, and more reliable delivery across the enterprise.
The ideal candidate will combine strong hands‑on engineering skills with a product mindset and the ability to provide technical leadership across teams. You will design and evolve reusable frameworks, influence engineering standards, evaluate emerging technologies, and partner closely with execution and enablement teams to operationalize modern data patterns at scale.
This role plays a critical part in accelerating platform adoption, improving developer productivity, and reducing fragmentation across data and analytics solutions.
**Key Activities**
Key responsibilities include:
* Designing, building and owning next\-generation data product engineering patterns on modern cloud platforms including Snowflake and Databricks.
* Providing technical guidance and mentorship to other data engineers, promoting consistent engineering practices and high‑quality solutions.
* Developing reusable engineering assets such as frameworks, build kits, CI/CD templates, and performance optimization approaches.
* Partnering with Enablement and Execution teams to operationalize and scale data engineering patterns across delivery teams, serving as a technical point of reference for adoption and implementation.
* Evaluating, testing, and experimenting with emerging data and AI tools, platforms, and services.
* Participate in technical proofs of concept, comparing alternative solutions, and making data\-driven recommendations for platform and tool rationalization.
* Documenting project outcomes, transition plans, adoption guides, and solution usage scripts to support enterprise rollout.
* Supporting platform modernization efforts through hands\-on development, tuning, and optimization.
* Collaborating with data product owners, architects, and platform teams to align engineering solutions with enterprise data strategy.
This role requires effective communication and collaboration skills, along with the ability to work effectively with stakeholders across data, technology, and product owner teams. The successful candidate will bring deep technical fluency across modern data platforms, analytics tools, and cloud capabilities, and will contribute to advancing the Enterprise Data Strategy through hands‑on engineering, technical leadership, and continuous improvement.
**Core Competencies:**
**Knowledge**:
* Deep understanding
Posted: 2026-03-20