Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies - from emerging startups to large Fortune 50 firms - and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.
The Role:
We are seeking a Data Architect to lead the design and implementation of a scalable enterprise data ecosystem for one of our high-profile clients in the sports and media sector. This role involves building and optimizing modern data infrastructure to support advanced analytics, performance insights, fan engagement, and real-time business intelligence. You will work at the intersection of data architecture and innovation, helping shape next-generation data capabilities.
What you will do:
Define and lead the client's data architecture strategy to ensure alignment with business objectives and long-term scalability
Design comprehensive data models to support operational, analytical, and predictive use cases
Integrate complex data sources, including IoT sensors, CRM systems, event platforms, and real-time data feeds
Establish and enforce data governance best practices, including privacy, security, and quality standards (e.g., GDPR, CCPA)
Collaborate with engineering, analytics, and business teams to ensure access to clean, reliable, and actionable data
Architect and optimize cloud-native data infrastructure, including lakes, warehouses, and pipelines on AWS, Azure, or GCP
Implement real-time streaming and processing capabilities to power live insights and dynamic user experiences
Continuously evaluate new technologies and approaches to keep the client at the forefront of data-driven transformation
Required Skills:
7+ years of experience in data architecture, data engineering, or related roles
Deep understanding of scalable data system design including data lakes, warehouses, and ELT/ETL pipelines
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
Strong grasp of real-time processing tools and frameworks (e.g., Kafka, Spark Streaming, Kinesis)
Expert-level SQL skills and working knowledge of NoSQL systems
Experience working with BI tools like Tableau, Power BI, or Looker
Familiarity with data compliance regulations and secure architecture principles
Excellent communication and cross-functional collaboration skills
Nice to have Skills:
Experience working in fast-paced industries such as sports, media, or live events
Familiarity with IoT data pipelines, including ingesting and processing data from sensors or wearables
Experience implementing data mesh or data fabric architecture patterns
Exposure to graph databases or vector search (e.g., Neo4j, pgvector, Pinecone)
Understanding of infrastructure-as-code tools like Terraform or CloudFormation
Knowledge of data cataloging and lineage tools (e.g., AWS Glue Data Catalog, Alation, Collibra)
Background in supporting machine learning workflows and MLOps pipelines
Prior experience working with streaming video analytics or time-series data
Education & Certifications:
Bachelor's degree in Computer Science, Data Science, or a related field
Relevant cloud/data certifications (e.g., AWS Certified Data Analytics - Specialty) are a plus
What we offer:
Contract role with a high-impact client
Hybrid schedule (4 days/week onsite in London)
Exposure to cutting-edge technologies and fast-paced digital innovation
Opportunity to influence data strategy and architecture for a leading brand in the sports/media space
Salary Range:
60-90/hr
Location:
London, England
Must be willing to go into the office 4x a week (Monday-Thursday)
Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR
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