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For Companies At a Glance
- Tasks: Lead the design and delivery of innovative data solutions for clients.
- Company: Join a global analytics firm focused on data-driven growth and innovation.
- Benefits: Enjoy a competitive salary, hybrid work options, and private healthcare.
- Why this job: Be at the forefront of data architecture in a collaborative and innovative environment.
- Qualifications: 10+ years in BI/Data Warehousing with strong cloud and data modeling skills required.
- Other info: Opportunity to work with cutting-edge technologies and contribute to impactful projects.
The predicted salary is between 90000 - 110000 £ per year.
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 (dependant on client requirements)
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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Data Solutions Architect - Hybrid - London - £90k - £110k employer: CV Library
Contact Detail:
CV Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solutions Architect - Hybrid - London - £90k - £110k
✨Tip Number 1
Make sure to highlight your cross-cloud experience in your conversations. Since this role emphasizes expertise in Azure, AWS, and GCP, be prepared to discuss specific projects where you've successfully implemented solutions across these platforms.
✨Tip Number 2
Demonstrate your leadership skills by sharing examples of how you've led technical teams in the past. This role requires collaborative leadership, so showcasing your ability to foster innovation and problem-solving will set you apart.
✨Tip Number 3
Stay updated on the latest trends in data governance and management tools. Being knowledgeable about tools like Unity Catalog or Alation can give you an edge during discussions with the hiring team.
✨Tip Number 4
Prepare to discuss your experience with ETL/ELT tooling, especially with Azure Data Factory and Informatica. Having concrete examples of how you've utilized these tools to support data movement will demonstrate your hands-on expertise.
We think you need these skills to ace Data Solutions Architect - Hybrid - London - £90k - £110k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data solutions architecture, particularly your cross-cloud expertise and any relevant projects you've led. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, emphasize your technical leadership experience and your ability to design large-scale data solutions. Mention specific tools and technologies you have worked with that are relevant to the role, such as Databricks or Azure Data Factory.
Showcase Relevant Projects: Include examples of past projects where you successfully implemented data management solutions or led teams in delivering complex data architectures. This will demonstrate your hands-on experience and problem-solving abilities.
Highlight Continuous Learning: Mention any recent training, certifications, or courses you have completed related to data architecture or emerging technologies. This shows your commitment to staying current in the field and your proactive approach to professional development.
How to prepare for a job interview at CV Library
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data warehousing, business intelligence, and cloud solutions. Highlight specific projects where you led technical teams and delivered end-to-end data solutions.
✨Demonstrate Solution Architecture Skills
Discuss your experience in designing large-scale data solutions, such as data lakes and warehouses. Be ready to explain the technologies you've used, like Databricks or Snowflake, and how they contributed to project success.
✨Emphasize Client Advisory Experience
Prepare examples of how you've acted as a trusted adviser to clients. Share instances where you identified growth opportunities and helped implement cloud migration strategies or data architecture initiatives.
✨Stay Current with Emerging Technologies
Show your commitment to continuous learning by discussing recent technologies or trends in data management that you've explored. This demonstrates your proactive approach and ability to provide effective recommendations.
