Data Engineering Manager

Job Description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work.

Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit CIBC. com What you’ll be doing As a member of the U. S.

Data Strategy team, you’ll work in a fast-paced environment where you will own delivery for Data ETL, analytics and consumption capabilities in alignment with a multi-year Product Roadmap. With guidance from Enterprise level standards and resources, you will work across functions – Product, Architecture, Data, Stakeholders – to understand business/design/Product objectives, then build solutions, whether internal or external.

You will stay ahead of changing technologies and demonstrate experience with clean interfaces and data strategy. This position is dynamic and challenging. We are looking for someone to be a leader, collaborator, and executor.

This role requires key hard and soft skills. You lead and inspire development team of 8-10 technology professionals including developers, testers, and analysts to solve complex data modeling, transformation, and consumption solutions. You oversee the development, testing and implementation of Data Solutions including ETL, Analytics, Data Quality and Lineage in a secure cloud environment.

Additionally, you hold teams accountable for quality of code, and achieving committed work within a sprint, release, or roadmap, lead code reviews to ensure best practice coding processes. Mentoring developers on improvements.

You also define and manage resource requirements and allocations, monitor and improve quality, and ensure ‘best practice’ development techniques. You create better ways of solving technical problems and not be afraid of challenging the status quo and work to plan releases and release schedules. As a part of your responsibility you, manage intake process for application project estimates, identify bottlenecks across SDLC, evaluate performance opportunities, and implement and manage Key Performance Indicators and successfully execute Agile Scrum practices including capacity estimation, story pointing, measuring/monitoring velocity, and leveraging ceremonies and practices accordingly and developing proofs of concept (POC) as needed to evaluate product and technical strategies.

Excellent communication, presentation, and negotiation skills needed to facilitate brainstorming sessions, build consensus, and shepherd solutions through governance forums is required. Work Arrangement: This is a hybrid role with an expectation to be in office at least 2 days per week in Chicago Downtown, rest of the days maybe remote. How you’ll succeed Critical Thinker – Create better ways of solving technical problems and not be afraid of challenging the status quo.

Define and manage resource requirements and allocations, monitor and improve quality, and ensure ‘best practice’ development techniques. Strong Leader – Lead and inspire onshore and offshore team with multiple skillsets. Encourage internal growth within individual roles.

Relationship building – Grow your network, deepen existing relationships, and collaborate with others to ensure the team is connected to the right people and opportunities. Promote collaboration among technology, product, and business teams to deliver high value enhancements to the Bank’s data ecosystem. Who you are You can demonstrate 5+ years of experience as a Development Lead on Data Applications with strong Data infrastructure and Data Architecture skills with a solid proficiency in the Data technology stack, including but not limited to PySpark, Scala, Databricks, ETL, Azure SQL and REST APIs, exposure to Integration and BI Tools such as Tableau, Cognos or Power BI and Expertise in data ingestions, data pipeline development, and optimization, reporting, and advanced analytics using Azure and Databricks (Pyspark/Scala) services.

EWJD3