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Data Platform Architect
Who is Parser? Technology alone does not create impact—the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and Al enablement. We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, Al & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.
Why Join Us? If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we'd love to meet you.
How will you impact? As a Data Platform Architect at Parser, you will own the architecture, design, and evolution of enterprise data platforms. You will combine hands-on technical leadership with system design, architectural governance, and vendor oversight. By defining scalable, secure, and resilient architectures, you will ensure solutions meet business needs while complying with regulatory and security requirements in regulated industries.
Your responsibilities include, but are not limited to:
Cloud-Native Design: Design and implement cloud-native data platform architectures on AWS, covering ingestion, streaming, storage, processing, and analytics. Streaming Solutions: Architect and guide event-driven and streaming data solutions using Kafka (Confluent Platform / Confluent Cloud). Infrastructure as Code: Define and maintain infrastructure-as-code using Terraform, including cloud resources, networking, and platform services. Hands-on Contribution: Contribute directly to platform components, automation, and data pipelines using Python and SQL. Architectural Patterns: Establish architectural patterns for scalability, resilience, observability, security, and cost optimization. System Governance: Own end-to-end system design, target-state architectures, reference designs, and technical standards from source systems through consumption. Vendor Oversight: Provide architectural direction, technical governance, and quality reviews for designs and deliverables produced by external vendors and system integrators. Product Mindset: Own the data platform as a product, balancing platform reliability, developer experience, and continuous improvement in self-service and operational excellence.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you'll bring to the role: Essential Requirements:
Proven Architectural Experience: Demonstrated experience as a Data Platform Architect, Senior Data Engineer, or similar role operating at a system and platform architecture level. Cloud & Event-Driven Expertise: Extensive hands-on experience with modern cloud-native architecture (AWS preferred) and event-driven paradigms (Kafka). AWS Core Ecosystem: Hands-on experience with AWS Services including Lambda, Fargate, EKS, DynamoDB, and MemoryDB. IaC Practices: Strong experience with Terraform and infrastructure-as-code practices. Development & Distributed Systems: Proficiency in Python and SQL, combined with a solid understanding of distributed systems, data pipelines, and data architectures. Regulated Environments: Experience working in regulated industries (such as aviation, financial services, healthcare, or similar) with familiarity in data governance, lineage, metadata management, and audit requirements. Leadership & Communication: Strong communication skills to explain complex technical concepts to diverse stakeholders, alongside experience overseeing third-party vendors or delivery partners.


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Desirable Requirements: Experience with Apache Flink. AWS Certification (e.g. AWS Certified Solutions Architect - Associate/Professional). Exposure to modern data platforms supporting analytics and BI workloads.
Location: Model: Hybrid Office Location: London
You will receive: The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built. The opportunity to be part of an amazing, multicultural community of tech experts. A highly competitive compensation package. A flexible and hybrid working environment. Medical insurance.
Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.
If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.
By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser's Privacy Notice for recruitment purposes. Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency, such as streamlining note-taking and scheduling. All hiring decisions are made by people, with human review and oversight.
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