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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 hybrid work, a competitive salary, bonuses, and a chance to pitch ideas for funding.
- 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 present ideas to senior leadership and potentially secure significant investment.
The predicted salary is between 90000 - 110000 £ per year.
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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Data Solutions Architect - Hybrid - London - £90k - £110k employer: ZipRecruiter
Contact Detail:
ZipRecruiter 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
Familiarize yourself with the latest trends in data architecture and governance. Being able to discuss emerging technologies and how they can benefit the company will show that you're proactive and knowledgeable in the field.
✨Tip Number 3
Prepare examples of your leadership experience, especially in collaborative environments. This role requires team-oriented leadership, so sharing stories about how you've fostered innovation and problem-solving within teams will be beneficial.
✨Tip Number 4
Research the company's recent investments in data analytics and Gen AI capabilities. Understanding their strategic direction will allow you to align your skills and experiences with their goals during discussions.
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 Your Industry Knowledge: If you have experience in the Insurance or Finance sectors, make sure to highlight this in your application. Discuss how your background can contribute to the company's goals and client needs in these industries.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or workshops you have completed related to data architecture or emerging technologies. This shows your commitment to staying current in the field and your readiness to bring innovative solutions to the company.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data warehousing, cloud solutions, and ETL/ELT tools. Highlight specific projects where you led technical teams or designed large-scale data solutions.
✨Demonstrate Client Advisory Skills
Share examples of how you've acted as a trusted adviser in previous roles. Discuss your approach to client strategy development and how you've identified growth opportunities for clients.
✨Emphasize Continuous Learning
Talk about how you stay updated with emerging technologies in the data space. Mention any recent courses, certifications, or technologies you've explored that could benefit the company.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would handle specific challenges related to data governance, architecture design, or team collaboration.
