data & support
Full Time
Work Contract
- Lead and manage teams working on large, complex, end-to-end data platforms and pipelines.
- Develop deep understanding of the structure, semantics, and business meaning of complex data landscapes.
- Own the technical architecture of the platform, designing scalable, secure, and cost-efficient cloud-based data solutions.
- Translate business requirements into technical strategies and execution plans for projects of any size.
- Create and communicate technical artifacts, including architecture diagrams, data models, data dictionaries, and technical design documentation.
- Act as the primary technical authority, unblocking the team and guiding complex technical decisions.
- Define delivery plans, estimates, and priorities; clearly communicate plans, progress, and risks to the team and to clients.
- Ensure high-quality delivery at both code and platform levels, enforcing engineering, data quality, and operational standards.
- Perform and oversee peer code reviews, promoting clean code, reusable patterns, testing, and strong Git practices.
- Drive continuous improvement initiatives to enhance platform reliability, efficiency, scalability, and delivery speed.
- Anticipate technical, delivery, and operational risks; escalate issues proactively and plan mitigations.
- Own responsibilities beyond development, including infrastructure, monitoring, production support, maintenance, and operational processes.
- Establish and enforce observability practices (monitoring, logging, alerting, SLOs/SLAs) and lead incident response when needed.
- Work across teams, providing architectural guidance and governance beyond the immediate team.
- Mentor and develop engineers, fostering technical excellence, ownership, and career growth.
- Participate in talent assessment decisions to ensure strong team composition.
- 5+ years of professional experience in software or data engineering.
- Proven experience leading teams on complex IT or data platform projects.
- Strong experience with end-to-end big data pipelines (batch, streaming, or hybrid).
- Advanced proficiency in SQL (queries, performance tuning, indexing, partitioning).
- Strong programming skills in Python or similar languages, following clean and modular engineering practices.
- Deep understanding of cloud architecture, including compute, storage, networking, identity, and cost optimization.
- Expertise in data platform architecture, including modern paradigms such as Lambda, Kappa, microservices, and event-driven pipelines.
- Strong background in data modeling (dimensional, normalized, and data vault models).
- Ability to independently deliver and oversee tasks of any complexity.
- Excellent business and technical acumen, with the ability to connect technical decisions to business impact.
- Proven experience defining and managing CI/CD pipelines, automation, and release strategies.
- Strong experience debugging and resolving complex production issues in data platforms.
- Excellent communication skills, with confidence driving discussions and providing clear updates to clients and stakeholders.
- Experience working with agile methodologies (e.g., Scrum).
- Strong organizational skills, including prioritization, estimation, and management of competing priorities.
- Advanced English proficiency for client-facing communication and documentation.
- Experience defining organization-wide data quality frameworks, data contracts, and anomaly detection.
- Hands-on experience with data governance, lineage, cataloging, and access control.
- Familiarity with regulatory and compliance requirements (e.g., GDPR, HIPAA).
- Experience leading technology evaluations and Proofs of Concept (PoCs).
- Experience providing cross-team architectural governance or acting as a platform steward.
- Background influencing engineering culture at scale, including documentation, observability, and review practices.
- Must be based in Latin America.
- Flexible work environment;
- Periodic feedback aiming at people development and career growth;
- Possibility of international travel;
- Legal Entity contract.
*Role available only for latin american residentes*
We are a fully remote company, but we value in-person connections. We host annual trips for the entire team to collaborate and bond, and some teams organize additional meetups throughout the year to work together.
You can choose your work hours, as long as you meet your team and client's main meetings, cerimonies and deliveries. Apart from those ceremonies, you can choose how to distribute the remaining hours of your day. Just make sure you're communicating frequently and clearly.
We have performance plans, feedback and follow-up sessions, social gatherings (online and offline) and laid-back events to keep the teams engaged and united.
Our contracts are based on Legal Person agreements (PJ in Brazil). Let us know if you need help explaining this contract model.
