Hybrid Data Platform Architect

at Parser

• Job title: Data Platform Architect
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, AWS, Cloud, Distributed Systems, Kafka, Python, SQL, Terraform
• Location requirements: Hybrid, London, United Kingdom

About the role

• Data Platform Architect integrating hands-on technical leadership with architectural governance for enterprise data platforms. Overseeing design and implementation, ensuring compliance with regulatory needs.

Responsibilities

• Design and implement cloud-native data platform architectures on AWS, covering ingestion, streaming, storage, processing, and analytics
• Architect and guide event-driven and streaming data solutions using Kafka (Confluent Platform / Confluent Cloud); Apache Flink experience is a plus
• Define and maintain infrastructure-as-code using Terraform, including cloud resources, networking, and platform services
• Contribute directly to platform components, automation, and data pipelines using Python and SQL
• Establish architectural patterns for scalability, resilience, observability, security, and cost optimization
• Own end-to-end system design for the data platform, from source systems through consumption
• Define target-state architectures, reference designs, and technical standards
• Make informed architectural trade-offs across performance, cost, security, and operational complexity
• Ensure consistent application of architecture principles across teams and initiatives
• Provide architectural direction and technical governance for external vendors and system integrators
• Review vendor-produced designs, implementation plans, and deliverables for quality and alignment
• Ensure vendor solutions adhere to platform standards, security controls, and regulatory requirements
• Act as the technical authority for platform-related decisions across internal and external teams
• Own the data platform as a product, with clear vision, roadmap, and success metrics
• Balance platform reliability, developer experience, and time-to-value for data consumers
• Drive continuous improvement in platform usability, self-service, and operational excellence
• Design platforms that meet the needs of regulated industries such as aviation, finance, or healthcare
• Embed security, data privacy, auditability, and governance into platform architecture
• Collaborate closely with security, compliance, and risk teams to ensure regulatory alignment
• Support audits, reviews, and regulatory assessments as required

Requirements

• Proven experience as a Data Platform Architect, Senior Data Engineer, or similar role
• Demonstrated ability to operate at system and platform architecture level, not just implementation
• Experience defining and enforcing architectural standards and best practices
• Strong communication skills, with the ability to explain complex technical concepts to diverse stakeholders
• Experience working in regulated environments (aviation, financial services, healthcare, or similar)
• Familiarity with data governance, lineage, metadata management, and audit requirements
• Experience overseeing third-party vendors or delivery partners
• Exposure to modern data platforms supporting analytics and BI workloads
• AWS Certification (e.g. AWS Certified Solutions Architect - Associate/Professional) is a plus
• Strong expertise with AWS, particularly services used in data and platform architectures
• Hands-on experience with Kafka, ideally Confluent Platform or Confluent Cloud
• Strong experience with Terraform and infrastructure-as-code practices
• Proficiency in Python and SQL
• Solid understanding of distributed systems, data pipelines, and data architectures

Benefits

• The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
• The opportunity to form part of an amazing, multicultural community of tech experts.
• A highly competitive compensation package.
• Medical insurance