Chief Data Architect
United Kingdom
Bottomline Technologies
Business payments made better. Customer engagement made excellent.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Computer Science Data governance Distributed Systems Engineering ETL Machine Learning Pipelines Privacy SDLC Security
Perks/benefits: Career development
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