At a Glance
- Tasks: Design and implement data solutions for clients, tackling big data challenges head-on.
- Company: Join a leading tech company committed to innovation and diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with travel opportunities and excellent career advancement.
- Why this job: Make a real impact by guiding clients through their big data journeys.
- Qualifications: Experience in data engineering, coding skills in Python or Scala, and cloud knowledge.
The predicted salary is between 70000 - 90000 £ per year.
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as a Senior Solutions Consultant or a Resident Solutions Architect. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.
As a Data Platform Solutions Architect (Internal Title - Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, you will work with clients on short to medium-term customer engagements on their big data challenges using the company platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- Drive high-impact customer projects: Design and build reference architectures, implement production use cases, and create “how-to” guides tailored to the unique needs of fast-moving Emerging Enterprise & Digital Native customers in EMEA.
- Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope, schedules, and deliverables for professional services engagements.
- Enable transformational initiatives: Guide strategic customers through their end-to-end big data journeys—migrating from legacy platforms and deploying industry-leading data and AI applications on the company platform.
- Consult on architecture & design: Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt the company.
- Offer advanced support: Serve as an escalation point for operational issues, collaborating with the company Support and Engineering to resolve challenges quickly.
- Align technical delivery: Partner with cross-functional the company teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met.
- Amplify product feedback: Provide implementation insights to the company Product and Support teams, guiding rapid improvements in features and troubleshooting for customers.
What we look for:
- Extensive experience in data engineering, data platforms & analytics.
- Comfortable writing code in either Python or Scala.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps.
- Design and deployment of performant end-to-end data architectures.
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white‑boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of the company-based solutions to complete customer projects.
- Travel to customers 10% of the time.
- (Preferred) company certification but not essential.
Our Commitment to Diversity and Inclusion
At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB in London employer: United States Digital Space LLC
As a Data Platform Solutions Architect within our Professional Services team, you will thrive in a dynamic and inclusive work environment that prioritises employee growth and collaboration. Our commitment to diversity ensures that every voice is heard, while our focus on innovative projects allows you to make a significant impact on clients' big data journeys. With opportunities for professional development and a culture that values teamwork, this role offers a rewarding career path in the heart of EMEA's emerging enterprise landscape.
Contact Details:
United States Digital Space LLC Recruitment Team
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