Cambridge, Cambridge District, CambridgeshireMember since 28 October 2023
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Data- focussed Lead Data Architect with over 20 years of industry experience in architecting and developing enterprise data solutions at scale
Technical strategist and leader in real-time Big Data solutions and machine learning architecture, with rich expertise in machine learning, MLOps, modern data warehousing, Big Data integration, event streaming, self-serve reporting platforms, data science integration and enrichment
Highly experienced in architecting and developing data intensive applications in a cross cloud capacity (GCP, Azure and AWS)
Practitioner in management and orchestration of machine learning projects for predictive and statistical analysis. Providing technical leadership in the progression from notebook to production at scale
Proficient in Agile development methodologies, CI/CD, TDD/BDD, pair-programming, peer reviews, sprint/retro cycle
Experience
Farfetch, London — Senior Data Architect
April 2022 - Present
Ownership of the company's Enterprise Data and ML strategy using cross-cloud data architectures that can scale and support diverse teams across analytics, data engineering and machine learning. Adopting a Hub & Spoke model to increase agility
Ensuring alignment across information architecture and data governance across data product teams. Enabling accurate and performant data model design across Enterprise Data Models
Defining data solution architecture using GKE, Airflow, BigQuery and DBT for both internal and external facing data products
Leveraging BigQuery, Spark & Databricks to scale ML workloads and rapid experimentation of new models to support personalisation at scale (recommendations, search and ranks)
Enterprise architect for Farfetech’s in-house event tracking platform (omnitracking) that supports 500M events daily. Defining the product roadmap to support enhanced data quality assurance using data contracts
Responsible for maintaining accurate Reference Architectures, Guidelines, Decision Logs, RFCs and Budget forecasting. Ensuring a balance between cost efficiency and innovation. Using C4 and ArchiMate methodologies
Influencing company wide OKRs at exec level to ensure Global Data Strategy alignment
BBC, London — Lead Data Architect
November 2019 - April 2022
Responsible for setting the technical strategy, architecture design and delivery of BBC’s Machine Learning Platform on GCP for supporting personalisation (recommendations) across BBC Sounds, News, World Service and Sport
Part of the leadership team of BBC Datalab (the team responsible for delivering machine learning services across the BBC’s product portfolio), providing mentorship for the team’s engineers and data scientists and managing the team’s GCP budget
Lead BBC Datalab’s cross-functional team of engineers and data scientists in building out a dedicated research and experimentation platform in GCP, leveraging Kafka, BigQuery, Beam, Airflow and GKE
Enabled prototyping using Google Vertex AI, TFX and Kubeflow to help streamline rapid deployment from ideation to production
Provided subject matter expertise on MLOps strategies to increase maturity across the BBC’s machine learning teams
Evangelised emerging technology in machine learning both at the C-level and at the team level
Comparethemarket.com, London — Data Solutions Architect
September 2018 - November 2019
Served as the Enterprise Data Architect for the company’s new streaming and analytics platform leveraging Apache Kafka
Led real-time integration into S3 Data Lake using Spark (EMR) using structured streaming
Designed and delivered the department’s new modern data warehouse using Airflow, Redshift and Athena
Provided subject matter expertise on enterprise data model to support data science and insight teams into a Single Customer View
Provisioned a data science framework (Python) to support key initiatives such as segmentation, clustering, recommenders and a variety propensity models
Served as the Principal Architect for the Power BI (self-serve) platform and AWS integration
Provided GDPR consultancy across the entire data estate, PII, encryption, deletion (as a service) and data access requests
Developed a roadmap for the API adoption strategy across both internal systems and external vendors to support the wider MarTech stack
Comparethemarket.com, London— Lead Big Data Engineer
June 2016 - September 2018
Served as the Lead Engineer / Architect for the company’s new analytics platform using a multi-node Redshift cluster
Led the migration from SQL on-premise to a complete cloud based solution for web analytics using AWS services (Spark EMR, EC2, S3, Data Pipeline)
Led the procurement of a new BI platform using Power BI to support self-service reporting and external partner portal
Served as the Principal Solutions Architect for rolling out an R Server in AWS for use in data mining, propensity models and customer behavior segmentation
Liaised with Finance, Marketing and HR to define robust solutions that would remove manual effort and improve collaboration between departments
Served as the Principal Data Modeller for Single View of Customer, financial YoY/forecasting, auditing and fraud detection
Provided consultancy services across the data department and implemented hybrid solutions to deal with on-premise/cloud setups
James Hay Partnership, Milton Keynes— Head of Business Intelligence
March 2016 - June 2016
Defined roadmap for new BI/MI function across the company
Had overall responsibility for data governance and integration across the SQL Server estate
Served as the Principal Design Authority for data warehouse and data mart design and delivery
Defined and procured a new reporting and analytics platform
Comparethemarket.com, Peterborough— Tech Lead BI
March 2013 - March 2016
Led an Agile BI Team of seven in both SQL Server and Hadoop platforms
Replaced ETL and SQL backend systems with Cloudera Hadoop with data ingest from both MongoDB and Kafka.
Developed data models in a Hive data warehouse
Successfully delivered the new SQL Server data warehouse providing self-service reporting/analytics across product teams leveraging the full suite of MSBI tool sets (SSIS, SSAS, SSRS and Office 365 BI portal)
Researched and developed a roadmap for migrating warehouse capacity into Amazon Redshift. My proof of concept showed that 80% improved efficiency could be gained by using a cloud-based solution. This became the first step into delivering near real-time BI.
Provided predictive analytics and data mining capability using R and transitioned solutions into Spark
Technical lead for practicing test-driven development, continuous delivery/integration, pair-programming/mob-programming and automated unit testing pipelines as part of the Agile development process
OTHER EXPERIENCE
BGL Limited, Peterborough— Senior MI Developer
March 2012 - March 2013
Whistlebrook, Cambridge— BI Team Lead / Senior Consultant
November 2007 - March 2012
Whistlebrook, Cambridge— BI Analyst Developer
May 2005 - November 2007
Whislebrook, Cambridge— Junior Developer
November 2004 - May 2005
Education
Anglia Polytechnic University, Cambridge — BSc (Hons) Computer Science
2001 - 2004
Royal King’s Guard, Oslo — Norwegian National Service
2000 - 2001
Nordstrand Videregående Skole, Oslo — Equivalent to Sixth Form College
1997 - 2000
A’ Level: Mathematics & Information Processing
GCSE: Physics, English, Geography, French, Social Studies, IT User Systems, History, Economics, Natural Science, Mathematics – 2 A’s & 8 B’s
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