Job Description
Data Solutions Architect - Hybrid - London - £90k - £110k
This is a brand new opportunity for an experienced data solutions architect with cross-cloud experience to join a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. My client has made a huge investment in the data analytical space and has invested/built their in-house Gen AI capability, with a lot of focus on investments in the Data management space. Data is truly at the centre of everything they do.
Salary & Benefits
Salary: £90k - £110k (depending on experience)
12.5% bonus
Hybrid working - 0-3 days per week in office (dependent on client requirements)
Dragons Den Initiative Scheme: Employees give their ideas to senior Leadership (within the Data and AI space), and if their idea is good £250,000 can be invested into their business proposition. Finalists are going to New York in December to see senior leadership to have the opportunity.
Company contributory pension scheme
Private healthcare
Position Overview
The Data Solutions Architect is a strategic role that brings technical expertise to guide, design, and deliver robust data management and data architecture solutions. Working alongside engagement and project managers, you will lead client assessments, recommend future state architectures, and develop strategies aligned with client objectives.
Role & Responsibilities
Technical Leadership:
Lead technical teams in crafting and delivering end-to-end data solutions, addressing complex business needs with expertise in data warehousing, business intelligence, and reporting solutions - both on-premises and cloud-based (Azure, AWS, or GCP). Solution Architecture:
Design and build large-scale data solutions, including data lakes, lakehouses, and warehouses, using technologies such as Databricks, Snowflake, Azure Synapse, or Azure Fabric. ETL/ELT Tooling:
Utilise ETL/ELT tools like SSIS, Azure Data Factory (ADF), Informatica, and IBM DataStage to support efficient data movement and transformation. Data Governance and Management:
Apply data governance and master data management tools (e.g., Unity Catalog, Profisee, Alation, DQ Pro) to ensure data quality and integrity. Collaborative Leadership:
Demonstrate team-oriented leadership qualities, fostering innovation, problem-solving, and knowledge sharing within the team. Client Advisory:
Act as a trusted adviser, participating in client strategy development and assessments to identify growth opportunities and drive the implementation of cloud migration and data architecture initiatives. Documentation and Compliance:
Create and maintain documentation (data models, integration architecture, technical requirements) to ensure transparency and project alignment. Continuous Learning:
Stay current with emerging technologies to provide clients with the most effective recommendations for data architecture advancements. What do I need to apply for the role Education & Experience:
Bachelor's or Master's degree in Business, IT, or a related field, with a minimum of 10 years in BI/Data Warehousing, including at least 4 years in technical/solution architecture. Data Modelling Expertise:
3-5 years of hands-on experience in enterprise data modelling using tools such as ERwin, ER/Studio, or Power Designer. Cloud and Big Data Skills:
Proven experience with data ingestion (batch and streaming), CI/CD tools (Azure DevOps, Terraform, AWS CodePipeline), and integration with databases such as SQL Server, PostgreSQL, Oracle, Redshift, and Synapse. Business Intelligence Experience:
Proficiency in reporting tools such as Power BI, Tableau, and QlikView. Industry Knowledge:
Preferable background in Insurance or Finance sectors to align with industry-specific requirements.
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Lead technical teams in crafting and delivering end-to-end data solutions, addressing complex business needs with expertise in data warehousing, business intelligence, and reporting solutions - both on-premises and cloud-based (Azure, AWS, or GCP). Solution Architecture:
Design and build large-scale data solutions, including data lakes, lakehouses, and warehouses, using technologies such as Databricks, Snowflake, Azure Synapse, or Azure Fabric. ETL/ELT Tooling:
Utilise ETL/ELT tools like SSIS, Azure Data Factory (ADF), Informatica, and IBM DataStage to support efficient data movement and transformation. Data Governance and Management:
Apply data governance and master data management tools (e.g., Unity Catalog, Profisee, Alation, DQ Pro) to ensure data quality and integrity. Collaborative Leadership:
Demonstrate team-oriented leadership qualities, fostering innovation, problem-solving, and knowledge sharing within the team. Client Advisory:
Act as a trusted adviser, participating in client strategy development and assessments to identify growth opportunities and drive the implementation of cloud migration and data architecture initiatives. Documentation and Compliance:
Create and maintain documentation (data models, integration architecture, technical requirements) to ensure transparency and project alignment. Continuous Learning:
Stay current with emerging technologies to provide clients with the most effective recommendations for data architecture advancements. What do I need to apply for the role Education & Experience:
Bachelor's or Master's degree in Business, IT, or a related field, with a minimum of 10 years in BI/Data Warehousing, including at least 4 years in technical/solution architecture. Data Modelling Expertise:
3-5 years of hands-on experience in enterprise data modelling using tools such as ERwin, ER/Studio, or Power Designer. Cloud and Big Data Skills:
Proven experience with data ingestion (batch and streaming), CI/CD tools (Azure DevOps, Terraform, AWS CodePipeline), and integration with databases such as SQL Server, PostgreSQL, Oracle, Redshift, and Synapse. Business Intelligence Experience:
Proficiency in reporting tools such as Power BI, Tableau, and QlikView. Industry Knowledge:
Preferable background in Insurance or Finance sectors to align with industry-specific requirements.
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