Your RoleWe are looking for a Data Architect who will be a foundational member of the Data Team, playing a critical role in designing, building, and optimizing our data infrastructure and data architecture. This position is central to the Chief Growth Officer's mission, ensuring that clean, reliable, and scalable data is available to drive strategic decision-making, personalization, and growth initiatives across the organization. You will bridge the gap between architectural design and practical data engineering, enabling rapid insights and high-quality data products. What you will doData Architecture & Strategy
Design and Implement: Design, build, and maintain scalable, reliable, and efficient data pipelines (ETL/ELT) using modern data warehouse/lakehouse architectures, primarily on Google Cloud Platform (BigQuery, Cloud Composer, Dataflow, Dataform) and evolving toward a multi-cloud environment including Snowflake, Databricks, and Azure.
Data Modeling: Develop and enforce robust data models for optimal storage and analytical querying, tailored to business requirements.
Technology Evaluation: Research, evaluate, and recommend new data technologies, tools, and platforms to enhance the data stack and support CGO growth objectives.
Cost Management: Design cost-aware architectures and manage cloud resources (compute, storage, networking) with a focus on billing optimization, IAM permissions, quotas, and limits to ensure efficient and sustainable operations.
Data Engineering & Infrastructure
Pipeline Development: Write, test, and deploy production-grade batch data pipelines using Airflow (Cloud Composer), Dataform, and Apache Beam (Dataflow), ensuring high performance and data quality.
Data Governance: Implement data quality checks, monitoring, and lineage tools to ensure accuracy, consistency, and compliance across all data assets.
Cloud Infrastructure: Manage and optimize data-related cloud services (e.g., BigQuery, Snowflake, Azure, GCP) including computing, storage, and networking resources for cost-efficiency and performance.
API Integration: Build and maintain connectors to integrate data from various internal and external sources (e.g., Salesforce, SAP, CRM, marketing platforms, transactional databases).
Collaboration & Support
Stakeholder Partnership: Work closely with Data Analysts, Data Scientists, and business stakeholders (Marketing, Sales, Product) to understand data requirements and deliver solutions that directly support growth strategies.
Documentation: Create and maintain clear, comprehensive documentation for data models, architecture, and ETL/ELT processes.
What we are looking for●Technical Expertise
Experience: 5+ years of experience in a Data Engineering, Data Architect, or similar role.
Programming: Expert proficiency in SQL (especially BigQuery SQL) and strong programming skills in Python (or Scala/Java).
Data Warehousing: Extensive experience with cloud-based data warehouses (e.g., BigQuery, Snowflake, Databricks). Experience with Google Cloud Platform (BigQuery, Cloud Composer, Dataflow, Dataform) is highly valued.
Cloud Platform: Proven experience with at least one major cloud provider's data services (e.g., Azure, GCP). Multi-cloud experience or familiarity with Azure and Snowflake is a plus given our evolving architecture.
ETL/ELT Tools: Experience with modern orchestration tools (e.g., Airflow, Prefect, Dagster) and ETL/ELT frameworks (Dataform, dbt).
Big Data: Familiarity with Big Data technologies (e.g., Apache Beam, Spark, Hadoop) for batch processing is a plus.
Version Control: Proficiency with Git and CI/CD pipelines.
Enterprise Integrations: Experience building integrations with enterprise systems such as Salesforce, SAP, ERPs, and CRMs.
Certifications: Professional cloud certifications are highly valued (e.g., GCP Professional Data Engineer, GCP Professional Cloud Architect, Azure Solutions Architect Expert, or similar).
Non-Technical Skills
Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences.
Problem-Solving: Strong analytical and critical-thinking skills with a demonstrated ability to solve complex data challenges.
Growth Mindset: A proactive, self-starter approach aligned with the fast-paced, results-driven environment of a Chief Growth Officer organization.
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
What we offer●Hybrid working model●Flexible working hours●Ticket Restaurants●Pension plan●Fully equipped Gym●Breakfast and fresh fruit●Affinity University platform: Professional development opportunities for employees at different stages of their careers, acknowledging diverse career paths.●Pet-friendly office●Celebrations & FunIf you don’t meet all the requirements, don’t worry. We value diverse backgrounds and encourage you to apply anyway. Your application will be thoughtfully reviewed!We cultivate an inclusive culture that celebrates diversity. We firmly believe that embracing a variety of perspectives is integral to both our company’s success and the strength of our team. That’s why we are committed to providing equal opportunities for all.Our CompanyAffinity Petcare is more than an international petfood company. For more than 60 years, we have been dedicated to nourishing healthy bonds between dogs, cats, and people to make the world a better place.We are very proud of our innovative brands which include: Ultima, Advance, Brekkies, Nature’s Variety, Nature’s Menu, Natural Trainer, Libra, and more. Currently, we have over 1,200 professionals working for this purpose from Barcelona, Paris, Milan, and London, as well as4 production sites through which we supply the 70+ countries where our brands have a presence.So, what are you waiting for? Join our team to leave your footprint!Want to know more about us?Follow us on LinkedIn for the latest updates and job opportunities. You can also follow us on Instagram👉@affinitycareers to learn more about life at Affinity and hear from our team.
