Data Architect, hibrido
Role details
Job location
Tech stack
Job description
Analysts work collaboratively. As a Data Architect, you will work closely with the rest of the team to help model and maintain the Data Platform. What we offer: - Competitive salary and benefits package - Discretionary bonus based on performance - Continued personal development through training and certification - We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects Responsibilities: - Be mentored by one of our outstanding performance team member along a 30/60/90 plan designed only for you - Participate in data modelling reviews and discussions to validate the models accuracy, completeness, and alignment with business objectives. - Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints). - Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing
Requirements
CI/CD) - Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer), as well as execution using GCP hosted services such as Container Registry, Artifact Registry, Cloud Run, Cloud Functions, and GKE. - Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs. - Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality. - Help to implement data governance policies, including data quality standards, data access control, and data classification. - Identify opportunities to optimise and refine existing processes. About you: - 8-12+ years of data/analytics engineering experience building, maintaining optimising data pipelines ETL processes on big data environments - Proficiency in Python and SQL - Knowledge of software engineering practices in data (SDLC, RFC...) - Stay informed about the latest developments and industry standards in Data - Fluency in English - Experience with our modern Data stack tools is a plus - Dimensional modelling/data warehousing concepts knowledge is a plus - Spanish speaking skills is a plus If youre excited about this job opportunity but your background doesnt match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. ETL, Airflow, Python, SQL