
Data Solutions Architect (Modern Big Data)
- London
- Permanent
- Full-time
- Client Engagement & Delivery
- Solution Design & Implementation
- Modernisation & Transformation
- Thought Leadership & Knowledge Sharing
- Collaboration & Leadership
- Client Partners
- Practice Leaders and Members
- Peer-level relationships within client organisations up to Head of Data Engineering, Chief Data Architect, CIO, and CDO level
- Demonstrated expertise in designing and implementing modern big data architectures for large enterprises.
- Strong consulting values with the ability to engage effectively with senior client stakeholders.
- Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption.
- Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts.
- Ability to align data strategies with business objectives, driving measurable value.
- Excellent analytical, problem-solving, and communication skills.
- Proven experience leading data modernisation initiatives across multiple sectors.
- Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog.
- Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation).
- Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions.
- Experience with SQL, NoSQL, ETL/ELT pipelines, and programming languages (Python, R, Java).
- Familiarity with BI, data visualisation, and DevOps principles.
- Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA).
- Exposure to machine learning and AI integration within modern data platforms.
- Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4+ years in modern big data solution architecture.
- Education: University degree required.
- Preferred: BSc/MSc in Computer Science, Data Engineering, or related field.
- Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable.
- Delivery of modern big data solutions aligned to client business objectives.
- High client satisfaction and repeat engagements.
- Leadership in client transformation journeys to cloud-native data platforms.
- Contribution to practice growth through assets, accelerators, and thought leadership.