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For Companies At a Glance
- Tasks: Lead cross-functional teams to deliver innovative cloud-based data solutions.
- Company: Dynamic, remote-first company focused on cutting-edge data architecture.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data solutions for blue-chip clients across various sectors.
- Qualifications: Proven experience in data architecture and leadership in complex data solutions.
- Other info: Join a collaborative team with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Our Client is looking for a Data Solutions Architect to work within a dynamic, remote-first data architectural capability to deliver cloud-based data solutions using best-in-class RDBMS, ETL/ELT, and Cloud platforms for blue-chip customers across a range of sectors. You will lead cross-functional teams of Data Engineers, Architects, Business Analysts and Quality Assurance Analysts to provision data processing, storage, and visualisation capabilities in an Agile environment. You will be comfortable with stakeholder engagement and take overall ownership of the technical delivery of your team and the solution they are building.
Experience and Leadership:
- Proven experience in data architecture, with a recent role as a Lead Data Solutions Architect, or a similar senior position in the field.
- Proven experience in leading architectural design and strategy for complex data solutions using Snowflake and then overseeing their delivery.
- Experience in consulting roles, delivering custom data architecture solutions across various industries.
- Experience with Insurance is an added advantage.
Architectural Expertise:
- Strong expertise in designing, architecting and overseeing delivery of end-to-end data solutions (warehousing, pipelines, analytics) using Snowflake's Cloud Data Platform.
- Proficiency in conceptualising and applying Data Mesh and Data Fabric architectural patterns.
- Experience in developing data product strategies, with a strong inclination towards a product-led approach in data solution architecture.
- Extensive familiarity with cloud data architecture on platforms such as Snowflake, AWS, Azure and GCP.
- Integration of Snowflake with other cloud services (AWS, Azure, GCP) and big data tools.
- Understanding of cloud platform infrastructure and its impact on data architecture.
Data Technology Skills:
- Deep hands-on experience with Snowflake's platform, features, and best practices.
- Strong understanding of data modeling principles and techniques.
- A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems.
- Knowledge of programming languages such as Python, R, or Java is beneficial.
- Knowledge of ETL/ELT processes (such as DBT), SQL, NoSQL databases is added advantage.
- Experience with data visualization tools and DevOps principles/tools is advantageous.
- Familiarity with machine learning and AI concepts, particularly in how they integrate into data architectures.
Design and Lifecycle Management:
- Proven background in designing modern, scalable, and robust data architectures.
- Comprehensive grasp of the data architecture lifecycle, from concept to deployment and consumption.
Data Management and Governance:
- Strong knowledge of data management principles and best practices, including data governance frameworks.
- Experience with data security and compliance regulations (GDPR, CCPA, HIPAA, etc.).
Leadership and Communication:
- Exceptional leadership skills to manage and guide a team of architects and technical experts.
- Excellent communication and interpersonal skills, with a proven ability to influence architectural decisions with clients and guide best practices.
Project and Stakeholder Management:
- Experience with agile methodologies (e.g. SAFe, Scrum, Kanban) in the context of architectural projects.
- Ability to manage project budgets, timelines, and resources, maintaining focus on architectural deliverables.
Qualifications:
- Matric and a bachelor's degree in business administration, Information Systems, or related field.
- SAFe or Scrum certified.
Lead Data Solutions Architect employer: Resourgenix Ltd
Contact Detail:
Resourgenix Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Solutions Architect
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with data architecture and how you've led teams to success. Use real examples to demonstrate your expertise with tools like Snowflake and your understanding of cloud platforms.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to their specific needs. Research their projects and challenges, and come prepared with ideas on how you can help them achieve their goals using your skills in data solutions.
✨Apply Through Our Website
Don’t forget to check out our website for job openings! Applying directly through us not only shows your interest but also gives you a better chance to stand out. We’re always looking for talented individuals to join our team!
We think you need these skills to ace Lead Data Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Solutions Architect. Highlight your experience with Snowflake, cloud platforms, and any leadership roles you've held. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data architecture and how your experience makes you the perfect fit for our team. Don't forget to mention any relevant projects or achievements!
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on experience with data technologies like Apache Spark, ETL/ELT processes, and data visualisation tools. We love seeing specific examples of how you've used these skills in past roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Resourgenix Ltd
✨Know Your Data Architecture Inside Out
Make sure you brush up on your knowledge of data architecture principles, especially around Snowflake and cloud platforms. Be ready to discuss specific projects where you've designed and delivered data solutions, as this will show your hands-on experience and expertise.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership abilities, particularly in managing cross-functional teams. Think about times when you influenced architectural decisions or guided best practices, as these stories will demonstrate your capability to lead effectively.
✨Engage with Stakeholders
Since stakeholder engagement is key for this role, practice how you would communicate complex technical concepts to non-technical stakeholders. Be ready to discuss how you've successfully managed client relationships and ensured their needs were met in past projects.
✨Familiarise Yourself with Agile Methodologies
Given the emphasis on Agile environments, make sure you understand different methodologies like Scrum or Kanban. Be prepared to discuss how you've applied these frameworks in your previous roles, particularly in relation to architectural projects.
