Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments. Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected. By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead. Wood Mackenzie Intelligence Connected <a href="https://www.woodmac.com/">WoodMac.com</a><a href="https://www.youtube.com/watch?v=Y4AVwhQJj_w&amp;t=10s">Wood Mackenzie Brand Video</a>Wood Mackenzie Values<ul><li>Inclusive – we succeed together</li><li>Trusting – we choose to trust each other</li><li>Customer committed – we put customers at the heart of our decisions</li><li>Future Focused – we accelerate change</li><li>Curious – we turn knowledge into action</li></ul>Role SummaryWe are seeking an experienced Data Architect to lead, design and manage our modern data infrastructure, with a strong focus on Snowflake, data modelling, dbt, and data engineering. The ideal candidate will play a key role in shaping AI-centric data solutions that support scalable product development, analytics, operational efficiency, and strategic decision-making.With an emphasis on Data as a Product, this role requires strong leadership, effective cross-functional communication, and a strategic mindset. In collaboration with the Head of Data, the incumbent will develop a robust operating model for implementing the data strategy, ensuring that required skills and capabilities are established throughout the organisation. Additionally, they will be responsible for ensuring data contracts are established, guaranteeing that all data is suitably prepared for product development, analytics, and AI applications.Role Responsibilities<ul><li>Design and implement robust data architectures leveraging Snowflake and AWS cloud data platform.</li><li>Develop and maintain scalable data models to support product delivery, analytics and business intelligence needs.</li><li>Lead the design and implementation of data transformation workflows using dbt or other identified solutions</li><li>Establish operating model, with data/analytical engineers to build reliable data pipelines, models and integrations.</li><li>Ensure data quality, governance, and security across all data systems and platforms in collaboration with broader architecture group.</li><li>Optimize data storage, performance, and cost within the cloud data environment.</li><li>Document architectural standards, best practices, and data lineage.</li><li>Provide technical leadership and mentorship on data engineering, modelling and architecture topics.</li><li>Experience of using AI to accelerate all aspects of good data management.</li></ul>Key Skills and Experience<ul><li>Proven experience designing and managing data architectures using Snowflake and AWS environments at scale.</li><li>Excellent leadership, collaboration and communication skills across large, multi-disciplined organisations.</li><li>Practical expertise in designing enterprise ontologies and knowledge networks.</li><li>Strong understanding of dimensional and normalized data modelling techniques.</li><li>Hands-on expertise in dbt for data transformation and pipeline orchestration.</li><li>Solid background in data engineering with proficiency in SQL and Python.</li><li>Experience with ELT/ETL frameworks and modern data stack tools.</li><li>Knowledge of data governance, access control, and privacy best practices.</li><li>Proficiency in applying AI foundations to ensure data is aligned for consumption and content generation</li></ul>Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at <a href="http://www.eeoc.gov/">www.eeoc.gov</a> If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.

In the middle of the energy transition, businesses and governments are faced with significant challenges. But the pace and scale of change mean every decision is made&nbsp;under mounting pressure.&nbsp; Now, more than ever, companies need reliable data, analytics and actionable insight. Wood Mackenzie is the&nbsp;leading global provider of data and analytics solutions&nbsp;for the renewables, energy and natural resources sectors . Wood Mackenzie&rsquo;s services&nbsp;include data, analytics, insight, events and consultancy.&nbsp; A trusted partner for over 50 years, Wood Mackenzie&rsquo;s team has over 2,300 experts across more than 30 global&nbsp;locations who cover the entire supply chain. Wood Mackenzie&rsquo;s data and analytics empowers energy producers, governments and financial institutions to be confident in&nbsp;their investment decisions in the face of rapidly evolving markets. Part of the Veritas group.

Data Architect

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments. Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected. By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead. Wood Mackenzie Intelligence Connected <a href="https://www.woodmac.com/">WoodMac.com</a><a href="https://www.youtube.com/watch?v=Y4AVwhQJj_w&amp;t=10s">Wood Mackenzie Brand Video</a>Wood Mackenzie Values<ul><li>Inclusive – we succeed together</li><li>Trusting – we choose to trust each other</li><li>Customer committed – we put customers at the heart of our decisions</li><li>Future Focused – we accelerate change</li><li>Curious – we turn knowledge into action</li></ul>Role SummaryWe are seeking an experienced Data Architect to lead, design and manage our modern data infrastructure, with a strong focus on Snowflake, data modelling, dbt, and data engineering. The ideal candidate will play a key role in shaping AI-centric data solutions that support scalable product development, analytics, operational efficiency, and strategic decision-making.With an emphasis on Data as a Product, this role requires strong leadership, effective cross-functional communication, and a strategic mindset. In collaboration with the Head of Data, the incumbent will develop a robust operating model for implementing the data strategy, ensuring that required skills and capabilities are established throughout the organisation. Additionally, they will be responsible for ensuring data contracts are established, guaranteeing that all data is suitably prepared for product development, analytics, and AI applications.Role Responsibilities<ul><li>Design and implement robust data architectures leveraging Snowflake and AWS cloud data platform.</li><li>Develop and maintain scalable data models to support product delivery, analytics and business intelligence needs.</li><li>Lead the design and implementation of data transformation workflows using dbt or other identified solutions</li><li>Establish operating model, with data/analytical engineers to build reliable data pipelines, models and integrations.</li><li>Ensure data quality, governance, and security across all data systems and platforms in collaboration with broader architecture group.</li><li>Optimize data storage, performance, and cost within the cloud data environment.</li><li>Document architectural standards, best practices, and data lineage.</li><li>Provide technical leadership and mentorship on data engineering, modelling and architecture topics.</li><li>Experience of using AI to accelerate all aspects of good data management.</li></ul>Key Skills and Experience<ul><li>Proven experience designing and managing data architectures using Snowflake and AWS environments at scale.</li><li>Excellent leadership, collaboration and communication skills across large, multi-disciplined organisations.</li><li>Practical expertise in designing enterprise ontologies and knowledge networks.</li><li>Strong understanding of dimensional and normalized data modelling techniques.</li><li>Hands-on expertise in dbt for data transformation and pipeline orchestration.</li><li>Solid background in data engineering with proficiency in SQL and Python.</li><li>Experience with ELT/ETL frameworks and modern data stack tools.</li><li>Knowledge of data governance, access control, and privacy best practices.</li><li>Proficiency in applying AI foundations to ensure data is aligned for consumption and content generation</li></ul>Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at <a href="http://www.eeoc.gov/">www.eeoc.gov</a> If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.

Data Architect

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Wood Mackenzie

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