Technical Architect
Venesky-Brown’s client, a public sector organisation in Cardiff, is currently looking to recruit a Lead Technical Architect for an initial 10 week contract on a rate of £270/day (Inside IR35). This role will be hybrid working with 1 day per week in the office.
Responsibilities:
– Lead the definition of technical strategies, visions and designs across teams based on Google Cloud Platform best practice to achieve organisational objectives.
– Direct the delivery of technical strategies, visions and designs across teams.
– Drive best practices in cloud-based data engineering, automation, and DevOps for data solutions.
– Collaborate with data scientists, analysts, and other engineering teams to define architecture principles and patterns.
– Lead and guide the team, contributing to team skill growth and knowledge sharing.
– Design and implement scalable, reliable data models in the Google Cloud Platform.
– Ensure the security, compliance, and performance of Google Cloud Platform data solutions.
Essential Skills:
– Master’s Degree in Computer Science, Engineering, Information Technology, or related field.
– Cloud Platform Certification (AWS, Azure, or Google Cloud Platform)
– AWS Certified Data Analytics – Specialty
– Google Professional Architect
– Microsoft Certified: Azure Data Engineer
– Significant experience with Google Cloud Platform for data and analytics.
– Ability to define strategies and visions across teams based on best practice, which align with organisational objectives.
– Ability to direct the implementation of strategies and visions for example by creating and implementing roadmaps or plans.
– Ability to make and guide architectural decisions, identify and address associated risks, and use governance and assurance to make design decisions.
– Can define architectural principles and patterns using best practice.
– Ability to produce relevant data models, explaining which models to use for which purpose and advising on industry best practice.
– Can develop and maintain strategies in response to feedback and findings.
– Ability to create technical designs characterised by high risk, impact and complexity.
– Can lead and guide others in creating technical designs to achieve organisational objectives.
– Can understand the impact on the organisation of emerging trends in data tools, analysis techniques and data usage.
– Ability to communicate between technical and non-technical stakeholders, mediate in difficult architectural discussion and gain support from stakeholders for architectural initiatives.
– Can work collaboratively in a group and adapt feedback to ensure it’s effective.
– Can use feedback to optimise and refine standards for technical designs throughout the lifecycle.
– Ability to track emerging internal and external issues, solve problems with the most appropriate actions influencing colleagues across the organisation.
Desirable Skills:
– Google Professional Data Engineer
– Data Engineering Certifications (e.g., Cloudera, Databricks)
– Data-related Certifications (e.g., Microsoft Certified: Data Scientist Associate, Databricks Certified Data Engineer)
– Ability to design an appropriate metadata repository, improve existing repositories, understand a range of tools to manage metadata and advise team members on metadata management.
– Ability to undertake data profiling and source system analysis, presenting clear vision and insights to colleagues to support the end use of data.
– Can understand industry-recognised data modelling patterns and standards with the ability to compare and align different data models.
– Can design data architecture to deal with problems spanning different business areas, identifying links between problems to devise common solutions.
If you would like to hear more about this opportunity please get in touch.
Responsibilities:
– Lead the definition of technical strategies, visions and designs across teams based on Google Cloud Platform best practice to achieve organisational objectives.
– Direct the delivery of technical strategies, visions and designs across teams.
– Drive best practices in cloud-based data engineering, automation, and DevOps for data solutions.
– Collaborate with data scientists, analysts, and other engineering teams to define architecture principles and patterns.
– Lead and guide the team, contributing to team skill growth and knowledge sharing.
– Design and implement scalable, reliable data models in the Google Cloud Platform.
– Ensure the security, compliance, and performance of Google Cloud Platform data solutions.
Essential Skills:
– Master’s Degree in Computer Science, Engineering, Information Technology, or related field.
– Cloud Platform Certification (AWS, Azure, or Google Cloud Platform)
– AWS Certified Data Analytics – Specialty
– Google Professional Architect
– Microsoft Certified: Azure Data Engineer
– Significant experience with Google Cloud Platform for data and analytics.
– Ability to define strategies and visions across teams based on best practice, which align with organisational objectives.
– Ability to direct the implementation of strategies and visions for example by creating and implementing roadmaps or plans.
– Ability to make and guide architectural decisions, identify and address associated risks, and use governance and assurance to make design decisions.
– Can define architectural principles and patterns using best practice.
– Ability to produce relevant data models, explaining which models to use for which purpose and advising on industry best practice.
– Can develop and maintain strategies in response to feedback and findings.
– Ability to create technical designs characterised by high risk, impact and complexity.
– Can lead and guide others in creating technical designs to achieve organisational objectives.
– Can understand the impact on the organisation of emerging trends in data tools, analysis techniques and data usage.
– Ability to communicate between technical and non-technical stakeholders, mediate in difficult architectural discussion and gain support from stakeholders for architectural initiatives.
– Can work collaboratively in a group and adapt feedback to ensure it’s effective.
– Can use feedback to optimise and refine standards for technical designs throughout the lifecycle.
– Ability to track emerging internal and external issues, solve problems with the most appropriate actions influencing colleagues across the organisation.
Desirable Skills:
– Google Professional Data Engineer
– Data Engineering Certifications (e.g., Cloudera, Databricks)
– Data-related Certifications (e.g., Microsoft Certified: Data Scientist Associate, Databricks Certified Data Engineer)
– Ability to design an appropriate metadata repository, improve existing repositories, understand a range of tools to manage metadata and advise team members on metadata management.
– Ability to undertake data profiling and source system analysis, presenting clear vision and insights to colleagues to support the end use of data.
– Can understand industry-recognised data modelling patterns and standards with the ability to compare and align different data models.
– Can design data architecture to deal with problems spanning different business areas, identifying links between problems to devise common solutions.
If you would like to hear more about this opportunity please get in touch.
