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- Tasks: Lead the design and implementation of innovative data platform solutions in Retail and CPG sectors.
- Company: Dynamic company focused on transforming data landscapes with a collaborative culture.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Why this job: Shape the future of data ecosystems and make a real impact in the industry.
- Qualifications: 8+ years in data engineering, with hands-on experience in major cloud platforms.
- Other info: Encourages diverse applicants and offers immediate interview opportunities.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a proven SC Cleared Data Architect with a passion for transforming data landscapes. Do you thrive on designing innovative, scalable cloud solutions in the Retail and CPG sectors? If so, we want to hear from you!
About the Role
You will be leading the discovery, design, and implementation of cutting-edge data platform solutions. You'll play a pivotal role in assessing current environments, designing seamless integration and migration strategies, and shaping the future of connected data ecosystems—primarily within the Retail/CPG domain.
Key Responsibilities
- Conduct comprehensive assessments of existing data platforms, including data flows, governance, performance, and cost drivers.
- Design secure and efficient cross-platform data sharing and analytics integration patterns.
- Define and develop target state architecture, including data engineering, storage, ML/AI, BI, security, and governance.
- Contribute to the creation of reference architectures, pattern catalogues, and technical guardrails.
- Develop migration strategies tailored to specific domains and use cases, balancing refactoring and lift-and-shift approaches.
- Collaborate closely with engineering and platform teams to validate solutions, identify risks, and refine technical options.
What We're Looking For
- 8+ years of experience in data engineering and platform roles, with 3–5 years focused on architecture.
- Proven hands-on experience with at least two major cloud data platforms (e.g., Databricks, Snowflake, BigQuery) in production environments.
- Strong understanding of cross-cloud integration, networking, identity management, and data governance.
- Experience leading large-scale data platform modernization, consolidation, or migration projects.
- Excellent technical documentation skills and the ability to communicate complex architecture options to both technical and non-technical stakeholders.
- Industry experience in Retail/CPG, with familiarity with key data domains such as POS, consumer insights, trade promotions, supply chain, and finance.
Minorities, women, LGBTQ+ candidates, and individuals with disabilities are encouraged to apply. Interviews will take place next week, so please apply immediately or call Bangura Solutions to discuss this contract opportunity further.
Lead Data Architect - Databricks, Snowflake, Network, BigQuery, Hybrid, Outside IR35 employer: Bangura Solutions
Contact Detail:
Bangura Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Architect - Databricks, Snowflake, Network, BigQuery, Hybrid, Outside IR35
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data platforms. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your past projects, especially those involving Databricks, Snowflake, or BigQuery. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help you articulate your experience and technical knowledge clearly. Focus on how you've tackled challenges in data architecture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Architect - Databricks, Snowflake, Network, BigQuery, Hybrid, Outside IR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with cloud data platforms like Databricks and Snowflake, and don’t forget to mention your work in the Retail/CPG sectors!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about transforming data landscapes and how your background makes you the perfect fit for this role. Keep it engaging and relevant!
Showcase Your Technical Skills: Since this role requires strong technical documentation skills, make sure to include examples of your past work that demonstrate your ability to communicate complex architecture options clearly. This will set you apart from other candidates!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you in the running for this exciting opportunity!
How to prepare for a job interview at Bangura Solutions
✨Know Your Data Platforms
Make sure you brush up on your knowledge of Databricks, Snowflake, and BigQuery. Be ready to discuss your hands-on experience with these platforms, as well as any specific projects you've worked on that showcase your skills in data architecture.
✨Understand the Retail/CPG Landscape
Familiarise yourself with key data domains in the Retail and CPG sectors, such as POS systems and supply chain management. This will help you demonstrate your industry knowledge and how it relates to the role during the interview.
✨Prepare for Technical Questions
Expect to answer technical questions about cross-cloud integration, data governance, and architecture design. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Leadership Skills
Since this role involves leading projects, be prepared to discuss your experience in managing teams and driving large-scale data platform migrations. Share examples of how you've collaborated with engineering teams and navigated challenges in past projects.