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Data architect

Madrid
Affinity Petcare
Publicada el 7 mayo
Descripción

Your Role We 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 do Data Architecture & Strategy

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.

Develop and enforce robust data models for optimal storage and analytical querying, tailored to business requirements.

Research, evaluate, and recommend new data technologies, tools, and platforms to enhance the data stack and support CGO growth objectives.

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

Write, test, and deploy production‑grade batch data pipelines using Airflow (Cloud Composer), Dataform, and Apache Beam (Dataflow), ensuring high performance and data quality.

Implement data quality checks, monitoring, and lineage tools to ensure accuracy, consistency, and compliance across all data assets.

Manage and optimize cloud services (e.g., BigQuery, Snowflake, Azure, GCP) including computing, storage, and networking resources for cost‑efficiency and performance.

Build and maintain connectors to integrate data from various internal and external sources (e.g., Salesforce, SAP, CRM, marketing platforms, transactional databases).

Collaboration & Support

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.

Create and maintain clear, comprehensive documentation for data models, architecture, and ETL/ELT processes.

What we are looking for Technical Expertise

5+ years of experience in Data Engineering, Data Architecture, or similar role.

Expert proficiency in SQL (especially BigQuery SQL) and strong programming skills in Python (or Scala/Java).

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.

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.

Experience with modern orchestration tools (e.g., Airflow, Prefect, Dagster) and ETL/ELT frameworks (Dataform, dbt).

Familiarity with Big Data technologies (e.g., Apache Beam, Spark, Hadoop) for batch processing is a plus.

Proficiency with Git and CI/CD pipelines.

Experience building integrations with enterprise systems such as Salesforce, SAP, ERPs, and CRMs.

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

Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non‑technical audiences.

Strong analytical and critical‑thinking skills with a demonstrated ability to solve complex data challenges.

A proactive, self‑starter approach aligned with the fast‑paced, results‑driven environment of a Chief Growth Officer organization.

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 & Fun

We cultivate an inclusive culture that celebrates diversity. We firmly believe that embracing a variety of perspectives is integral to our company’s success and the strength of our team. That’s why we are committed to providing equal opportunities for all.

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