Join us on our mission to create a completely new, 100% digital bank that truly serves customers' best interests. We are a close-knit and fun-loving team of seasoned financial services professionals who came together for the challenge of building a bank from scratch - and we are committed to doing it all the right way (from technology infrastructure to modern marketing to customer experience).

The anticipated salary range for this role is between $115,000.00 and $205,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

We work with the flexibility and speed of a start-up. But we also have significant stability and capital from being part of the SMBC Group (Sumitomo Mitsui Banking Corporation). SMBC is the second largest bank in Japan and the 12th largest bank in the world with operations in over forty countries. And SMBC is committed to disrupting the US marketplace with ground-breaking products.

It is the best of both worlds, and we are seeking proven marketing leaders to propel us towards a national launch. We have both the ambitious growth plans and the 'patient capital' necessary to execute a multi-year plan. Join us on the journey to deliver an exciting concept of evolved banking.

JOB SUMMARY:

We are seeking an experienced Data Engineering leader to oversee the architecture and management of data systems, focusing on large-scale solutioning and operationalization of data warehouses, data lakes, and analytics platforms on GCP. The role involves leading a team of 5-8 engineers, developing scalable data ingestion pipelines, and automating ETL processes. The ideal candidate will have a deep understanding of data management principles, hands-on experience with tools like Kafka, Splunk, Collibra, Dataplex, and Alation, and a strong background in Python, GCP Cloud data implementation, and DevOps technologies. Excellent communication skills and the ability to collaborate with cross-functional teams are essential.

PRINCIPAL DUTIES & RESPONSIBILTIES:

• Solid experience and understanding of considerations for large-scale solutioning and operationalization of data warehouses, data lakes, and analytics platforms on GCP is a must.

• Leads a technology team of 5-8 engineers to develop data engineering solutions.

• Responsible for overseeing the architecture and management of data systems.

• Plays a crucial role in ensuring that data is stored, processed, and utilized effectively, aligning with the company’s strategic goals.

• Requires a deep understanding of data management principles and the ability to apply them in a practical, business-focused context.

• Leads the design, build, and development of scalable data ingestion pipelines, as well as end-to-end automation of the ETL process for various datasets.

• Determines the best way to extract application telemetry data, structure it, and send it to the proper tool for reporting (Kafka, Splunk).

• Hands-on experience with data cataloging and metadata management tools: Collibra, Dataplex, Alation.

• Leads the creation of reporting and consumption solutions, as well as monitoring usage data for billing and SLA tracking.

• Collaborates on high-level software design projects and software system architecture, creating effective component-level architectures.

• Works with business and cross-functional teams to gather and document requirements to meet business needs.

• Provides technical assistance and cross-training to business and internal team members.

• Collaborates with business partners for continuous improvement opportunities

POSITION SPECIFICATIONS:

• 7+ years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics.

• 7+ years of technical leadership.

• 8+ years of experience with one of the leading public clouds.

• 8+ years of experience in designing and building scalable data pipelines for extraction, transformation, and loading.

EOE STATEMENT

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

CCPA DISCLOSURE

Personal Information Collection Notice: This notice contains information under the California Consumer Privacy Act (CCPA) about the categories of personal information (PI) of California residents that SMBC MANUBANK collects and the business or commercial purpose(s) for which the PI may be used. We do not sell PI. More information about our collection and use of PI may be found in our CCPA Privacy Policy at https://www.smbcmanubank.com/privacy/ccpa-disclosure . Persons with disabilities may contact our Customer Contact Center toll-free at (877) 560-9812 to request the information in this Notice in an alternative format.