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- Tasks: Design and implement operational data capabilities for a leading payments company.
- Company: Bottomline is a global leader in business payments with over 35 years of experience.
- Benefits: Enjoy continuous learning, growth opportunities, and a collaborative work environment.
- Why this job: Join a cutting-edge team making a global impact in financial services.
- Qualifications: BS or MS in Computer Science or Engineering; strong technical leadership and data SDLC knowledge required.
- Other info: We value diversity and are committed to creating an inclusive workplace.
The predicted salary is between 54000 - 84000 £ per year.
Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We\’re looking for passionate individuals to join our team and help drive impactful results for our customers. If you\’re dedicated to delighting customers and promoting growth and innovation – we want you on our team! The Role We are looking for a Data Architect to design and implement an operational data capability. This person should have a deep understanding of the data SDLC. Data will be sourced from the different operational systems but will have myriad use cases, including: For billing and other customer-related services and insights For use by the CRO team to provide additional sources of revenue (reporting, business insights, deriving data via aggregation and consortium or community) For operational use to enhance the portfolio capabilities in Machine Learning / Artificial Intelligence models to support and enhance fraud scoring, Artificial Intelligence, Machine Learning Ops and Support for the Data Science Team use cases How you\’ll contribute Design and evolve an end-to-end data lifecycle management capability Ensure that data can be securely transported from the different operational databases into a secure central data repository (Data Lakehouse) Ensure the current Data Virtualization Capability works seamlessly with the data transport Deliver on a comprehensive ETL design including tooling, storage and delivery of fit-for-purpose data to operational environments Collaborate with CIO, CISO and CPO teams to ensure that we can deliver on roadmap and security capabilities as pertains to data Since Bottomline works in a highly regulated industry, having a full set of data governance, compliance and security tools must be part of the design Work closely with the different CTO teams (Data Science and Engineering) to ensure we can extract value from data The data environment must have capability to build and maintain services as medallion architectures, data sharing, automated pipelines for model build (especially for Data Science team) Review designs with an understanding of the impact and application of regulatory and internal policies (e.g. FFIEC, HIPAA, GDPR, CCPA, PCI-DSS, HIPPA, and SLAs Closely collaborate with Development, Data Center Engineering, Product Management, and Delivery to guarantee environment integrity and compliance with Bottomline standards Articulate the strategic needs to Bottomline\’s technical and business leadership What will make you successful An extensive technical background in and understanding of the data SDLC including how to build technical flows, the ETL environment, security, compliance and governance, systems and application architecture with strong technical leadership in agile software development Strong technical leadership qualities. Ability to engage horizontally and vertically within the organization around the data SDLC Able and willing to talk to customers, as needed A strong background in designing and delivering large-scale distributed systems Proven experience with distributed systems, privacy rules, business continuity, High Availability and Disaster Recovery A special emphasis on Security and Privacy Strong knowledge of data enablement – ingestion, storage, wrangling with the requisite security constructs (e.g., encryption, keys, certs, tokens) Collaborative team player with experience working in a global organization BS or MS in Computer Science, Engineering, or relevant fields Why Join Us? Be part of a cutting-edge team building SaaS solutions for financial services that will have a global impact Work in a collaborative and supportive environment with the opportunity to innovate and design solutions for high availability in mission-critical applications Continuous learning and growth opportunities We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We\’re proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone. #J-18808-Ljbffr
Chief Data Architect employer: TOPPAN Edge Inc.
Contact Detail:
TOPPAN Edge Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Data Architect
✨Tip Number 1
Familiarise yourself with Bottomline's core business and the specific challenges they face in the payments industry. Understanding their operational data needs will help you articulate how your skills can directly contribute to their goals.
✨Tip Number 2
Network with current or former employees of Bottomline, especially those in data-related roles. They can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data governance and compliance, particularly in relation to regulations like GDPR and PCI-DSS. Being able to demonstrate your knowledge in these areas will show that you understand the importance of security in their operations.
✨Tip Number 4
Highlight any experience you have with collaborative projects, especially those involving cross-functional teams. Bottomline values teamwork, so showcasing your ability to work well with others will strengthen your application.
We think you need these skills to ace Chief Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Chief Data Architect position. Familiarise yourself with the data SDLC and the specific technologies mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your technical background, leadership qualities, and any experience with distributed systems and data governance.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your understanding of Bottomline's mission. Mention specific examples of how your previous work aligns with the role and how you can contribute to their goals.
Highlight Collaborative Experience: Since the role involves collaboration with various teams, be sure to include examples of your teamwork and communication skills. Discuss any experience working in global organisations or cross-functional teams to demonstrate your ability to engage with different stakeholders.
How to prepare for a job interview at TOPPAN Edge Inc.
✨Understand the Data SDLC
Make sure you have a solid grasp of the data Software Development Life Cycle (SDLC). Be prepared to discuss how you've applied this knowledge in previous roles, especially in designing and implementing data architectures.
✨Showcase Your Technical Leadership
Highlight your experience in leading technical teams and projects. Be ready to provide examples of how you've engaged with different departments and stakeholders to drive data initiatives forward.
✨Discuss Compliance and Security
Given the highly regulated nature of Bottomline's industry, be prepared to talk about your experience with data governance, compliance, and security measures. Familiarise yourself with relevant regulations like GDPR and PCI-DSS.
✨Demonstrate Collaboration Skills
Emphasise your ability to work collaboratively across teams. Share examples of how you've successfully partnered with data science, engineering, and product management teams to deliver impactful data solutions.
