Data Solutions Architect – Analytics and AI – Utilities, Oil & Gas, Manufacturing – Consultancy Firm
Overview We are currently working with a leading Consultancy business looking for a Data Solutions Architect to expand their Data and Analytics practice within the Utilities, Oil & Gas, and Manufacturing sectors. This is a permanent London-based role paying up to £120k plus package. This is a hybrid role and will require some time on client site given the nature of a Consultancy business. This is a Senior Manager level role, acting as the “go-to” person for Data Architecture within this market. You will be responsible for delivering market-leading, transformational data solutions for their clients across Analytics and AI, including Data Lake, Data Mesh, Data Engineering, and Visualisation. This is an exciting opportunity for you to own the industry sector, make decisions, and be the technical ‘go-to’ person. Essential Skills Experience working as a Data Solutions or Enterprise Architect in client-facing roles. Prior experience of working within Utilities, Oil & Gas, or Manufacturing markets either directly or for a Consultancy. Excellent understanding and experience of designing and implementing complex data solutions, including across some of the following areas: Data integration and ingestion. Data modelling (including methodologies such as Kimball, Data Vault, 3NF). Data management and governance (including metadata management, data quality, master data management, data security). Data Lake, Lakehouse, and Data Mesh architecture. Data Engineering, Analytics, and Visualisation. AI / GenAI and self-service business intelligence. Cloud Infrastructure, Networking, Security principles. Any experience across Azure Fabric, Snowflake, or Databricks would be highly desirable. Experience and knowledge of delivering innovative enterprise data management frameworks e.g. Data Mesh. Experience developing a ‘common language for data’, including data models (all types), data dictionaries, data vocabularies, taxonomies, or ontologies. If the above sounds like a good fit for your experience, please apply with a current version of your CV in the first instance.
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Overview We are currently working with a leading Consultancy business looking for a Data Solutions Architect to expand their Data and Analytics practice within the Utilities, Oil & Gas, and Manufacturing sectors. This is a permanent London-based role paying up to £120k plus package. This is a hybrid role and will require some time on client site given the nature of a Consultancy business. This is a Senior Manager level role, acting as the “go-to” person for Data Architecture within this market. You will be responsible for delivering market-leading, transformational data solutions for their clients across Analytics and AI, including Data Lake, Data Mesh, Data Engineering, and Visualisation. This is an exciting opportunity for you to own the industry sector, make decisions, and be the technical ‘go-to’ person. Essential Skills Experience working as a Data Solutions or Enterprise Architect in client-facing roles. Prior experience of working within Utilities, Oil & Gas, or Manufacturing markets either directly or for a Consultancy. Excellent understanding and experience of designing and implementing complex data solutions, including across some of the following areas: Data integration and ingestion. Data modelling (including methodologies such as Kimball, Data Vault, 3NF). Data management and governance (including metadata management, data quality, master data management, data security). Data Lake, Lakehouse, and Data Mesh architecture. Data Engineering, Analytics, and Visualisation. AI / GenAI and self-service business intelligence. Cloud Infrastructure, Networking, Security principles. Any experience across Azure Fabric, Snowflake, or Databricks would be highly desirable. Experience and knowledge of delivering innovative enterprise data management frameworks e.g. Data Mesh. Experience developing a ‘common language for data’, including data models (all types), data dictionaries, data vocabularies, taxonomies, or ontologies. If the above sounds like a good fit for your experience, please apply with a current version of your CV in the first instance.
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