2 months ago
Chile (city not specified)Senior
Responsibilities
- Lead the design and implementation of robust, scalable, and maintainable data solutions.
- Design and evolve the architecture and infrastructure supporting Toku’s data flows.
- Build and maintain data pipelines integrating multiple sources, data volumes, and complexity levels.
- Design and maintain Data Warehouses, Data Lakes, and reliable data layers for company teams.
- Make technical decisions based on architectural trade-offs involving scalability, cost, performance, and maintainability.
- Identify platform risks and improvement opportunities and proactively propose solutions.
- Work directly with technical and non-technical stakeholders to translate business needs into technical solutions.
- Ensure data quality, availability, and reliability.
- Collaborate with engineers on design, implementation, testing, deployment, and engineering practices.
- Raise the team’s technical standards and participate in selecting and developing future team members.
Requirements
- Relevant experience solving complex Data Engineering problems.
- Experience with Data Warehouses, Data Lakes, and/or modern data architectures.
- Experience building and maintaining ETL/ELT pipelines and data ingestion and transformation processes.
- Experience with cloud data solutions; Toku uses Google Cloud Platform, while AWS and other cloud ecosystems are also valued.
- Strong SQL and Python skills.
- Experience with relational databases and understanding of their design principles and operation.
- Ability to design technical solutions and evaluate trade-offs involving scalability, performance, cost, and maintainability.
- Strong communication skills and ability to work with technical and non-technical stakeholders.
- Technical curiosity and demonstrated ability to learn new tools, technologies, and concepts independently.
- Experience designing or evolving data platforms from scratch or contributing to significant modernization or migration efforts is preferred.
- Experience with BigQuery, Snowflake, Databricks, Airflow, dbt, Spark, or Kafka is preferred.
- Experience with large data volumes, scalability, performance, or cost optimization is preferred.
- Experience with data replication, CDC, batch processing, and/or streaming is preferred.
- Experience with data modeling, data governance, observability, and data quality is preferred.
- Experience using Git and software development best practices is preferred.
- Experience taking technical ownership of Data projects or initiatives end to end is preferred.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSDatabricksdbtGitGoogle BigQueryGoogle Cloud PlatformPythonSnowflakeSQL
Categories
Data Engineering
About Toku
Toku builds a SaaS platform for payment operations and automated collections for businesses in Latin America. It combines local payment infrastructure (Chile, Mexico, Brazil) with AI agents that contact customers, process payments, reconcile invoices, and handle account support, with integrations to ERP/CRM systems. Founded in 2020 and headquartered in Santiago, it is privately held and certified ISO 27001 and PCI DSS Level 1.