Data Engineer | Senior | Snowflake

BIX Tecnologia; Brasil; A distancia; BRL 180.000 - 240.000; Jornada completa

Descripción de la vacante

BIX Tecnologia is seeking a data engineer to join a growing team focused on scalable data pipelines and AI-ready data modeling. You will design and maintain data flows from on-prem to cloud, optimize Snowflake performance, and shape semantic layers for downstream AI features.

Lead architecture and governance while mentoring one data engineer, collaborating with global teams, and advancing dbt-driven modernization across Azure and AWS ecosystems.

Formación

• 5–7 years of dedicated data engineering experience with a track record of building production-grade data pipelines.
• Advanced hands-on Snowflake experience with architecture, performance tuning, and data sharing.
• Experience moving data across hybrid environments (on-prem to cloud) using batch, streaming, and event-driven patterns.
• Experience building semantic layers and structuring data for AI, LLM, or natural language search.
• Strong Python skills in cloud environments and SQL proficiency.
• Exposure to dbt; Azure Data Factory is a plus; AWS data tools familiarity is beneficial.
• Collaborative, coaching leadership style for cross-functional teams and governance.
• Fluent English for global collaboration and meetings.

Responsabilidades

• Design, build, and maintain scalable data pipelines for batch, real-time streaming, and event-driven data movement from on‑prem and cloud sources.
• Snowflake data platform ownership: core development, performance optimization, modeling, and storage structures.
• Architect and build semantic data inputs for Snowflake and dbt AI features; maintain robust semantic layers and metadata models.
• Establish reference architectures, templates, and CI/CD practices to empower decentralized teams.
• Provide direct management and mentorship to one data engineer and guide self-taught data analysts to mature practices.
• Drive modernization and tooling, promoting dbt adoption and integrating AWS/Azure cloud data tools for optimal data flow.

Conocimientos

Data engineering

Snowflake

Data integration

Semantic modeling

Python

Azure

dbt

Azure Data Factory

AWS

Leadership

English

Herramientas

Azure Data Factory

Azure Functions

SQL

dbt

Descripción del empleo

We are a company passionate about people, always prioritizing the quality of our relationships and taking care of every team member.We are looking for someone to join a team that is growing every day, both in size and in professional development.

We encourage and believe in our team, and we value working together. If you are someone with a strong team spirit who seeks continuous growth, BIX is the place for you!

Come join BIX Tecnologia!

Qualifications & Experience

• Experience: 5–7 years of dedicated data engineering experience, with a proven track record of building production-grade data pipelines.
• Snowflake Expertise: Advanced, hands-on experience with Snowflake architecture, performance tuning, and data sharing is a strict requirement.
• Data Integration: Proven experience moving data across hybrid environments (on-prem to cloud) utilizing batch, streaming (e.g., Stream Analytics), and event-driven patterns.
• Semantic & AI Context: Experience building or maintaining semantic layers (e.g., dbt Semantic Layer, Snowflake Cortex/Semantic definitions) and structuring data specifically for consumption by downstream AI, LLM, or natural language search features.
• Software Skills: Strong Python skills, particularly in cloud environments (e.g., writing Azure Functions for data workloads) and strong SQL capabilities.
• Frameworks & Clouds: Exposure to dbt is highly preferred. Experience with Azure data tools (Azure Data Factory) is a strong plus; familiarity with AWS data ecosystems is nice to have.
• Leadership Style: A collaborative, coaching mindset with a passion for teaching, establishing governance, and raising the technical bar for cross-functional teams.
• Fluent English: Clear and effective communication to collaborate with global teams, align technical requirements, and lead day-to-day meetings.

Key Responsibilities

• Pipeline Architecture: Design, build, and maintain scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-prem and cloud sources.
• Snowflake Platform Ownership: Serve as the core developer for our Snowflake data platform, ensuring optimal performance, modeling, and storage structures.
• AI Readiness & Semantic Modeling: Architect and build transform pipelines that deliver high-quality data inputs to Snowflake and dbt AI features. Design and maintain the robust semantic layers and metadata models required to power "Self-Service 2.0" natural language user interfaces.
• Data Mesh Enablement: Establish robust reference architectures, standard templates, and CI/CD best practices to enable decentralized line-of-business teams to build safely.
• Leadership & Mentorship: Provide direct management and career mentorship to one data engineer (with room to grow). Act as a guide for self-taught domain data analysts to mature their engineering practices.
• Modernization & Tooling: Drive the adoption of dbt for data transformation and explore the integration of AWS and Azure cloud data tools (ADF, Azure Functions, Stream Analytics) to optimize data flow.