Jobs in Portugal

What does ClearOps do and why is what we do so important?

Well, we keep the world of machinery moving.
How? By connecting supply chains and harnessing the power of data in a never seen way. We believe that the flow of goods depends on the flow of data, which is why we connect thousands of machine manufacturers and dealers and bazillions of machines on our platform, centralize their aftersales relevant data and make sure parts and services are available whenever, and wherever they're needed.

ClearOps is looking for a Data Platform Architect to design, scale, and evolve the backbone of our data infrastructure. In this role, you’ll define and implement modern data architectures, ensure performance and scalability across our platform, and guide our teams to leverage data effectively. Your work will empower ClearOps to handle massive volumes of machine and supply chain data with precision and speed.

• Design and maintain the overall data architecture, ensuring scalability, security, and performance


• Define and implement data models and organize how data is stored, integrated, and accessed


• Select and implement technologies within AWS and the broader data ecosystem to build scalable solutions


• Build and orchestrate batch and real-time data pipelines, integrating multiple internal and external sources


• Ensure reliable data availability through effective ETL/ELT processes and backup strategies


• Establish governance frameworks and standards for data quality, metadata, lifecycle management, and compliance


• Standardize data formats and access controls across the company to ensure consistency and security


• Drive the creation of data products, analytics models, dashboards, and curated datasets


• Collaborate with engineers, analysts, and product teams to transform raw data into actionable insights


• Provide best practices and mentorship to enable teams to build on the platform effectively


• Work closely with stakeholders to align data architecture with business needs and technical requirements


• Continuously evaluate and adopt new technologies to keep the platform modern and efficient

Qualifications:

• Proven experience in designing and building large-scale data platforms


• Strong knowledge of data modeling, including dimensional modeling, star and snowflake schemas


• Expertise with modern data lakes, data warehouses, and lakehouse architectures using AWS services such as S3, Redshift, and Glue


• Hands-on experience designing and optimizing ETL/ELT pipelines with Python-based frameworks and AWS tools (PySpark on EMR, AWS Glue, AWS Data Wrangler, AWS Lambda, Step Functions)


• Experience with distributed data processing on AWS EMR and orchestration tools like Apache Airflow or dbt


• Familiarity with change-data-capture (CDC) on Kafka for near-real-time data pipelines


• Strong background with SQL and NoSQL systems such as PostgreSQL, MySQL, Redshift, and cloud storage data lakes


• Experience building or migrating data warehouse and lake architectures with Redshift, Databricks, Snowflake, or S3


• Knowledge of AWS security best practices, networking, and scalable cloud deployments


• Practical experience with infrastructure as code (Terraform, CloudFormation), containerization (Docker), and orchestration (Kubernetes on EKS)


• Ability to design serverless data pipeline components (e.g., Lambda)


• Strong communication skills to explain complex data concepts and align cross-functional teams

• Familiarity with supply chain data and processes such as logistics, inventory, and supplier data


• Domain expertise in the supply chain industry to maximize impact of data architecture

ClearOps is a hidden champion on a strong growth path in the supply-chain-software industry. As part of ClearOps, you will be benefitting in several ways:

• High Impact: Shape the core of our data platform and influence product direction


• Growth Opportunities: Develop into a strategic leadership role as the platform and company scale


• Supportive Culture: Join a collaborative team where your expertise drives real change


• Learning & Development: Access to mentors, continuous training, and professional growth


• Flexibility: Flexible working hours, mobile work, and workcation opportunities

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