At a Glance
- Tasks: Design and build data pipelines using Azure and PySpark for the CPG industry.
- Company: Leading consultancy firm with a focus on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship and career advancement opportunities.
- Why this job: Join a dynamic team and shape the future of data architecture in a thriving industry.
- Qualifications: Experience in data engineering and familiarity with cloud platforms like Azure.
The predicted salary is between 80000 - 100000 £ per year.
Location: London
Core Technical Responsibilities
- Ideally with previous Consultancy and CPG industry experience
- Design and build end-to-end data pipelines (batch and near real-time) using PySpark, Databricks, and Azure Data Platform (ADF, ADLS, Synapse)
- Be hands-on in development, debugging, optimization, and production support of data pipelines
- Work with or extend existing/proprietary ETL frameworks (e.g., Mar's Simpel or similar) and improve performance and reliability
- Implement data modeling, transformation, and orchestration patterns aligned with best practices
- Apply data engineering fundamentals including partitioning, indexing, caching, cost optimization, and performance tuning
- Collaborate with upstream and downstream teams to ensure data quality, reliability, and SLAs
Architecture & Design
- Contribute to the design of cloud-native data architectures covering ingestion, processing, storage, and consumption
- Translate business and analytical requirements into practical, scalable data solutions
- Support data governance practices including metadata, lineage, data quality checks, and access controls
- Work within hybrid environments (on-prem to cloud) and support modernization initiatives
- Understand and apply data mesh concepts where relevant (domain ownership, reusable data products, basic contracts)
- Evaluate tools and frameworks with a build vs. buy mindset, recommending pragmatic solutions
Team & Delivery Responsibilities
- Act as a technical anchor for a data engineering team
- Provide technical guidance, code reviews, and mentoring to engineers
- Own delivery for assigned data products or pipelines — from design through deployment
- Collaborate with product owners, analysts, and architects to clarify requirements and priorities
Stakeholder & Communication
- Engage with business and analytics stakeholders to understand data needs and translate them into technical solutions
- Clearly communicate technical designs and trade-offs to both technical and non-technical audiences
- Escalate risks and propose mitigation strategies proactively
- Support documentation of architecture, pipelines, and operational processes
Good to Have
- Exposure to AI/ML data workflows (feature engineering, model inputs, MLOps basics)
- Awareness of LLMs / Agentic AI architectures from a data platform perspective
- Experience with other platforms such as AWS, GCP, Snowflake, BigQuery, Redshift
- Familiarity with data governance or catalog tools (DataHub, Collibra, dbt, etc.)
- Experience working in CPG, Retail, Supply Chain, or similar domains
Senior Data Architect - Azure / CPG Industry employer: BlackCube Labs
As a Senior Data Architect at our London-based firm, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a commitment to employee growth, ensuring you can advance your career while contributing to impactful projects in the CPG industry. Join us to be part of a forward-thinking team that values your expertise and fosters a supportive environment for meaningful work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect - Azure / CPG Industry
✨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 CPG space. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; show it! Create a portfolio showcasing your data pipelines or any projects you've worked on using Azure and PySpark. We love seeing practical examples of your work, and it gives you a great talking point during interviews.
✨Tailor Your Approach
When you’re reaching out to potential employers, make sure to tailor your message to each company. Highlight how your skills align with their needs, especially in the CPG industry. We want to see that you’ve done your homework and are genuinely interested in what they do!
✨Apply Through Our Website
If you spot a role that excites you, don’t hesitate to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to make an impact in the data world.
We think you need these skills to ace Senior Data Architect - Azure / CPG Industry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Architect. Highlight your experience with Azure, data pipelines, and any consultancy work you've done in the CPG industry. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've designed and built data solutions. If you've worked with PySpark, Databricks, or any of the Azure Data Platform tools, let us know! We love seeing real-world applications of your skills.
Communicate Clearly:When writing your application, keep it clear and concise. Use straightforward language to explain your technical expertise and how you can contribute to our team. Remember, we need to understand your thought process just as much as your skills!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at BlackCube Labs
✨Know Your Tech Inside Out
Make sure you’re well-versed in the core technologies mentioned in the job description, like Azure Data Platform, PySpark, and Databricks. Brush up on your knowledge of data pipelines and ETL frameworks, as you might be asked to discuss your hands-on experience with these tools.
✨Showcase Your Consultancy Experience
If you have previous consultancy experience, be ready to share specific examples of how you've designed and implemented data solutions in the CPG industry. Highlight any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Communicate Clearly
Prepare to explain complex technical concepts in simple terms. You’ll likely need to communicate with both technical and non-technical stakeholders, so practice articulating your thoughts clearly. Use examples from past experiences to illustrate your points.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your ability to handle real-world problems. Think about how you would approach designing a cloud-native data architecture or improving data quality. Practising these scenarios can help you respond confidently during the interview.
