Senior Data Solutions Architect (AWS/Python/Snowflake/Databricks) - Remote Portugal

Data Solutions Architect (AWS/Python/Snowflake/Databricks) - Full Remote Portugal

ABOUT THE OPPORTUNITY

We are looking for a Data Solutions Architect to join an international technology-focused environment dedicated to building scalable, high-performance data platforms that support impactful digital products used worldwide. This role is ideal for experienced professionals passionate about cloud-native data ecosystems, distributed architectures, and modern data engineering practices.

As a Data Solutions Architect, you will play a key role in designing scalable data solutions, defining architecture standards, and guiding technical teams through complex data initiatives. You will collaborate closely with engineering leadership, stakeholders, and cross-functional teams to deliver robust, secure, and high-performing data platforms while helping shape long-term technical strategy and best practices.

This opportunity offers exposure to modern cloud technologies, large-scale data processing, streaming systems, and advanced data modeling methodologies within a collaborative and innovation-driven engineering culture.

PROJECT & CONTEXT

You will work on modern enterprise-scale data ecosystems operating across AWS, Azure, and Google Cloud Platform (GCP). The environment includes technologies such as Snowflake, Databricks, Apache Spark, Apache Airflow, Kafka, Amazon Kinesis, and Python to support scalable real-time and batch data processing workloads.

The engineering teams follow Agile methodologies and modern DevOps practices, focusing on automation, observability, scalability, and continuous improvement. You will contribute to the full lifecycle of data solutions, including architecture definition, pipeline optimization, API development, cloud infrastructure integration, and advanced data modeling initiatives.

WHAT WE'RE LOOKING FOR (Required)

• Minimum 6 years of professional experience in Data Engineering, Data Architecture, or related roles
• Strong expertise with Python
• Experience building software services and APIs using Python frameworks
• Solid experience with AWS cloud services
• Exposure to Azure and Google Cloud Platform (GCP)
• Strong hands-on experience with Snowflake and Databricks
• Experience with Apache Spark and Apache Airflow
• Experience working with streaming technologies such as Apache Kafka or Amazon Kinesis
• Strong understanding of scalable cloud-native data architectures
• Experience designing and maintaining high-performance data pipelines and storage systems
• Strong knowledge of data modeling methodologies including Kimball, Inmon, and Data Vault
• Experience working in Agile environments and collaborative engineering teams
• Ability to communicate technical concepts and architecture decisions clearly to technical and non-technical stakeholders
• Strong problem-solving and analytical skills
• Experience collaborating with developers, leadership teams, and business stakeholders
• Fluency in English

NICE TO HAVE (Preferred)

• Experience with Vertica or similar analytical database platforms
• Exposure to multi-cloud enterprise architectures
• Experience with Infrastructure as Code (IaC) and cloud automation
• Knowledge of observability and monitoring practices for data platforms
• Experience mentoring engineering teams and guiding architectural best practices
• Familiarity with CI/CD pipelines and DevOps practices for data platforms
• Experience optimizing large-scale distributed systems and data processing workloads
• Interest in modern data platform innovation and scalable analytics ecosystems