Tech Lead – Data Engineer

This is a fully remote position, open to applicants in Chile, +5 more countries.

📋 Description

• Define the technical strategy, architectural standards, and data governance framework for the core Data Analytics platform.

• Take ownership of logical and physical data modeling, warehouse design, and layered data curation from staging to intermediate and mart levels.

• Act as the Data Engineering Tech Lead and provide technical guidance for Analytical Engineers.

• Oversee the complete design and implementation of data pipelines, covering ingestion, API integrations, custom connectors, ELT/ETL processes, and orchestration.

• Update the technology stack and enhance software engineering practices across data pipelines.

• Integrate DataOps and CI/CD methodologies, including automated dbt testing, environment isolation, credential management, and data deployment standards.

• Develop and improve governance; assess and implement Data Catalog and Data Observability solutions.

• Monitor data lineage, freshness, completeness, and set up automated failure alerts.

• Optimize Snowflake query performance, clustering, and warehouse sizing to enhance execution times and manage compute costs.

• Propel MLOps workflows and initiatives for AI readiness, focusing on semantic layers, data structures, and access patterns for AI agents and automated workflows.

• Offer architectural direction, conduct design reviews, provide technical mentorship, and challenge constructively.

• Assess new tools, frameworks, and architectural patterns to modernize and enhance the data stack.

• Collaborate with Engineering, Infrastructure, Data Science/ML, and various business stakeholders.

⛳️ Requirements

• Proven experience as a Senior Data Engineer, Data Architect, or Tech Lead in cloud-based data environments.

• Familiarity with preparing data structures, semantic models, feature stores, and API/access layers for AI agents, machine learning pipelines, and automated LLM workflows.

• In-depth hands-on expertise in administering, tuning, and modeling within Snowflake.

• Advanced proficiency in dbt, including macros, incremental models, custom tests, packages, and dbt-native CI/CD testing.

• Exceptional analytical SQL skills, including tuning query execution plans, window functions, and CTEs.

• Strong proficiency in Python for data pipelines, scripting, and MLOps workflows.

• Practical experience with ingestion and orchestration tools like Matillion, Apache Airflow, Prefect, Dagster, and Fivetran.

• Experience managing active Git and CI/CD pipelines, including automated data testing, deployment validation, and secure credential rotation.

• Ability to challenge assumptions, gather business context, formulate hypotheses, and rigorously assess outputs.

• Enthusiasm for developing lightweight MVPs and proofs of concept.

• Fluency in business-level English.

• Capability to explain complex technical trade-offs, mentor colleagues, and collaborate efficiently in a remote, globally distributed team.

• Candidates must have current authorization to work in the location of the position without the need for visa sponsorship.

• Bonus: familiarity with Snowflake Cortex, AI Classify, RAG workflows, LLM agents, MCP servers, Sigma, or n8n.

🏝️ Benefits

• Remote First, Remote Always.

• PTO in accordance with local labor regulations.

• Fully Paid Parental Leave.

• Home office stipend based on country of residence.

• Professional development courses available through Cloudbeds University.

• Access to professional growth opportunities, including manager training, upskilling, and knowledge transfer.