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Truelogic - Lead Data Engineer

Brazil - Hybrid5d ago

Requirements

• Working cross-functionally in a 50/50 Tech and Creative environment, you will have significant autonomy in technical decision-making and play a pivotal role in shaping our data strategy, engineering standards, and team culture. • 5+ years in Data Engineering: Demonstrated experience designing, building, and scaling data pipelines and cloud infrastructure from the ground up. • Beyond Data Migrations: Proven track record of activating data infrastructure for dynamic, real-time downstream applications rather than focusing solely on batch ETL/ELT or static warehousing. • Agentic & Real-Time AI Backends: Direct experience building data layers for real-time, event-driven applications, vector databases (e.g., Pinecone, Qdrant, Milvus, pgvector), or retrieval-augmented generation (RAG) at scale. • Deep Cloud Expertise: Strong experience with major cloud platforms (AWS, GCP, Azure) and modern cloud data stacks (Snowflake, Databricks, BigQuery). Bring your opinions on what works and what doesn't! • Core Technical Stack: Advanced proficiency in Python and SQL for data processing, real-time pipeline construction, and close collaboration with ML teams. • AI Workflow Mastery: Experience utilizing AI-assisted development tools, agentic coding, and automated engineering workflows. • Leadership & Communication: Track record of mentoring engineers and setting engineering standards. Exceptional communication skills suited for a hybrid Tech/Creative culture. • Located in Latin America. • Fluent in English.

Responsibilities

• Architect & Activate Data: Design, build, and scale high-throughput, low-latency data infrastructure connecting cloud data lakes/warehouses to dynamic AI backends and real-time agentic workflows. • Transform Latent Stores: Operationalize static data repositories into active context layers, vector engines, and memory systems for autonomous AI agents and downstream applications. • Real-Time & Event-Driven Pipelines: Build real-time ingestion, event-driven streaming, and retrieval pipelines (RAG, vector stores, operational databases) to feed live AI applications. • Technical Leadership & Standards: Establish data architecture standards, CI/CD, documentation, and data quality best practices while mentoring data engineers. • Cross-Functional Collaboration: Partner with Machine Learning Engineers, Product teams, Creative Directors, and agency stakeholders to translate client and business requirements into production-grade data APIs and schemas. • AI-Enabled Engineering: Leverage AI-powered coding, agentic engineering, and modern automated workflows to accelerate development and execution.

Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies. • A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally. • Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America. • Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.