Data Domain Architect Associate

JPMorgan Chase & Co.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Domain Architect Associate to join our International Consumer Bank team in Singapore. In this role, you'll collaborate with data engineers and analysts, focusing on data architecture, pipelines, and products. The ideal candidate will have a Bachelor's degree and at least 2 years of experience in data analytics or engineering.

This position requires strong communication skills and a detail-oriented approach to data quality. You'll have the opportunity to make an impact in an agile, cross-functional team.

Qualifications

• 2 years' experience in data analytics or data engineering.
• Experience as a data architect or business analyst.
• Ability to work in collaborative, agile teams.

Responsibilities

• Work closely with platform users and analysts to understand data requirements.
• Design and implement data architecture to support a performant platform.
• Lead in developing data pipelines and BI solutions.

Skills

SQL coding

Data analytics

Data engineering

ETL pipeline

Data quality concepts

Strong communication skills

Education

Bachelor's degree in computer science, business analytics or related domains

Job description

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys. We\'re already trusted by millions in the US, quickly catching up in the UK and recently launched in Germany - but how we do things here is a little different. We\'re building the bank of the future from scratch, channeling our start-up mentality every step of the way - meaning you\'ll have the opportunity to make a real impact.

As a Data Domain Architect Associate within our International Consumer Bank team, you will work closely with platform users and analysts to understand data requirements and functional needs. You will have the opportunity to partner with data engineers to design and implement industry-leading data utilities including semantic solutions, data pipelines and data products. This role provides a unique opportunity to make a real impact in a collaborative, cross-functional, agile team environment.

Our International Consumer Bank team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We\'re looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you\'ll have the opportunity to move between them.

Job Responsibilities:

• Work closely with platform users and analysts to understand data requirements and functional needs
• Partner with data engineers to design and implement industry leading data architecture to support a highly scalable, reliable and performant platform
• Testing new data models and enhancements to ensure they meet end user requirements and expected results
• Maintain high quality technical and end user documentation to support the data models underpinning our platform solutions
• Implement, own and execute controls including data validation rules and reconciliations as part of our runbook
• Lead in the development of data pipelines, ad-hoc data analysis and BI solutions to support external financial reporting

Required qualifications, capabilities, and skills

• Bachelor's degree in computer science, business analytics or related domains
• Formal training/certification with at least 2 years' experience in data analytics or data engineering
• Detail and control oriented with a good understanding of data quality concepts and solutions
• Experience as a data architect, business analyst or as an end user driving data platform innovation
• Ability to work in collaborative, cross-functional, agile teams as well as independently
• Strong communication skills, both written and verbal
• Proven SQL coding, ETL pipeline or data warehousing experience
• Ability to translate problem statements into practical solutions and technical requirements
• Self-starter and highly self-motivated
• A passion for applying best practices and driving innovation

Preferred qualifications, capabilities, and skills

• Retail banking domain experience is advantageous
• Ability to deliver large scale or big data platform solutions
• Working as part of multi-location team