Full-Stack Data Solutions Architect
at Zeta Global
London, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 15 Apr, 2025 | Not Specified | 16 Jan, 2025 | N/A | Good communication skills | No | No |
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Description:
WHO WE ARE
Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth. More than 100 employees and 120 client accounts in UK & Europe.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
THE POSITION
We are seeking a highly motivated and experienced Full-Stack Data Solutions Architect to lead the design, development, and implementation of comprehensive data solutions. This role demands a unique blend of technical expertise, architectural vision, and communication skills to bridge the gap between business needs and technological solutions. The ideal candidate will possess a strong understanding of data engineering principles, software development methodologies, and cloud technologies, along with the ability to translate complex technical concepts into clear, actionable plans for both technical and non-technical audiences.
This is a hybrid role based out of our London office.
Responsibilities:
- Solution Architecture: Design and implement end-to-end data solutions encompassing data acquisition, processing, storage, and visualization.
- Data Engineering: Develop and maintain robust data pipelines and ETL processes to collect, transform, and load data from various sources.
- Cloud Technologies: Leverage cloud platforms (e.g., AWS) to build scalable and cost-effective data solutions.
- Stakeholder Collaboration: Work closely with business stakeholders, product managers, and engineering teams to gather requirements, translate them into technical specifications, and ensure solutions align with business objectives.
- Technical Leadership: Provide technical guidance and mentoring to junior engineers and data analysts.
- Documentation: Create and maintain comprehensive technical documentation for designed and implemented solutions.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
London, United Kingdom