Data Engineering Manager
Há 6 dias
Teachable is trusted by creator-educators around the world to grow their impact and income. From online courses and communities to memberships and downloads, Teachable's digital learning products help creator-educators drive meaningful connection and sustainable revenue. With industry-best ecommerce tools, easily toggled on directly within the platform, creators can confidently maximize their earnings, while getting paid directly by their audience. Teachable's unmatched focus on the student learning experience also ensures creators can make a positive and influential impact on their communities—entirely on their own terms. Today, tens of thousands of creator-educators use Teachable to share their knowledge, reaching millions of students around the world. To learn more, visit
Are you ready to join a dynamic, cross-cultural team at an exciting turning point in our company's journey? Now part of the global Hotmart Company portfolio, whose platforms have helped creators earn more than $10 billion, Teachable continues to take the creator economy by storm as a true industry leader. Together, Teachable and Hotmart are delivering market-leading products that prioritize creator control and flexibility, alongside meaningful partnership and support from our team. If you have big ideas, relish the chance to challenge convention, and deeply believe in the power of creators to shape the future, we want you on our team
About Your Team
At Teachable, our Data team aims to support company data-driven decision-making. Reporting to the Head of Data, you lead our Data Engineering team and partner closely with product and business teams, making strategic technical decisions.
About You
You have a background experience with modern data architectures and engineering tools, are comfortable in supporting the design and optimization of data pipelines, modeling databases, and are constantly seeking ways to enhance data reliability, scalability, and the value delivered to stakeholders.
What You'll Do:
- Manage and mentor a team of data engineers, besides define the team's mission, direction, and strategy in alignment with the Data team and business goals.
- Lead large-scale technical projects and cross-team initiatives and guide technical leads in making impactful architectural and data modeling decisions.
- Represent the Data Engineering team across the company and act as a strong partner to technology and business stakeholders.
- Balance build vs. buy decisions to maximize impact and efficiency in product analytics and infrastructure.
- Manage technical debt while ensuring scalability, reliability and maintainability.
- Work with product and business teams, balancing technical depth with strategic impact.
What You'll Bring:
- Proven track record managing technical teams, including technical leads and managers.
- A problem-solving mindset, attention to detail, and a drive to make processes more efficient.
- Strong understanding of data engineering best practices (e.g: data lake, delta lake, ETL/ELT).
- Strong experience with AWS cloud infrastructure (MWAA, RDS, S3, IAM permissioning model).
- Strong experience with orchestration/workflow tools (e.g.: Airflow).
- Understanding of infrastructure as code (Terraform).
- Knowledge of batch and streaming frameworks (e.g.: Kafka, Kinesis, Spark Streaming).
- Good communication skills, fluent English proficiency and ability to operate in an international environment.
Nice to Have:
- Experience with AWS DMS, MKS, SQS/SNS, AppFlow, Data Build Tool (DBT).
- Understanding of Data Mesh or domain-driven data architectures.
- Familiarity with metadata management and data catalog tools.
This is a fully remote role based in Brazil, and you'll collaborate closely with teams across the U.S. and Brazil. Preferably candidates based on Belo Horizonte or São Paulo.
Your work will follow Brasilia Standard Time, and you'll be hired as a CLT contract employee with compensation in BRL.
Teachable encourages individuals from a broad diversity of backgrounds to apply for positions. We are an equal opportunity employer, meaning we're committed to a fair and consistent interview process. Please tell us in your application if you require an accommodation to apply for a job or to perform your job.
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