At a Glance
- Tasks: Design and build end-to-end data pipelines using Azure and other platforms.
- Company: Join a dynamic team in the fast-paced CPG industry.
- Benefits: Competitive salary, growth opportunities, and a collaborative work environment.
- Other info: Work with enthusiastic over-achievers in a supportive culture.
- Why this job: Be at the forefront of data innovation and make a real impact.
- Qualifications: Experience in data engineering and familiarity with AI/ML workflows.
The predicted salary is between 70000 - 90000 € per year.
Requirements
- 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
What the job involves
- 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
- 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
- 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
- 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
Senior Data Architect (Azure / CPG Industry) employer: Deepstreamtech
Join a dynamic and innovative team where your expertise as a Senior Data Architect will be valued and nurtured. Our company fosters a vibrant work culture that prioritises collaboration, continuous learning, and professional growth, particularly in the fast-paced CPG industry. With access to cutting-edge technologies and a commitment to employee development, you'll thrive in an environment that encourages creativity and rewards achievement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect (Azure / CPG Industry)
✨Tip Number 1
Network like a pro! Reach out to folks in the CPG and data engineering space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, AI/ML projects, or any cool stuff you've built. This is your chance to shine and demonstrate your hands-on experience with Azure and other platforms. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around data governance, ETL frameworks, and cloud-native architectures. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience in the CPG industry and your familiarity with data mesh concepts. Let’s get you on board!
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 job description. Highlight your experience with Azure, data pipelines, and any relevant tools like PySpark or Databricks. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects you've worked on that relate to AI/ML workflows or data governance. We love seeing real-world applications of your skills, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background in CPG or retail makes you a great fit. Let us know what drives you and why you want to join our team!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Workflows
Make sure you brush up on AI/ML data workflows, especially feature engineering and MLOps basics. Be ready to discuss how you've applied these concepts in your previous roles, particularly in the CPG industry.
✨Familiarise with Cloud Platforms
Since the role involves Azure, AWS, GCP, and others, it’s crucial to have a solid understanding of these platforms. Prepare examples of how you've used them in past projects, focusing on data pipelines and cloud-native architectures.
✨Showcase Your Data Governance Knowledge
Be prepared to talk about your experience with data governance tools like DataHub or Collibra. Highlight any specific instances where you ensured data quality and compliance, as this is key for the role.
✨Communicate Clearly
You’ll need to explain technical designs to both tech-savvy and non-technical folks. Practice articulating complex ideas simply and clearly, as effective communication is vital for collaboration with various stakeholders.
