Data Engineer | Senior | Snowflake

BIX Tecnologia - Consultoria de Dados; Brasil; Remote; BRL 250,000 - 360,000; Full time

Job summary

BIX Tecnologia - Consultoria de Dados in Brazil is seeking a senior Data Engineer to design, build, and scale data pipelines across on-prem and cloud environments. You will own Snowflake modeling and ensure high-performance data structures to feed AI features and semantic layers.

We value collaborative leadership, coaching, and governance, with mentoring of one data engineer and support for analysts. Strong Python, SQL, and cloud tooling are essential.

Qualifications

• 5–7 years of dedicated data engineering experience with production-grade pipelines.
• Advanced Snowflake architecture, performance tuning, and data sharing.
• Experience moving data across hybrid on-prem to cloud environments with batch, streaming, and event-driven patterns.
• Experience building semantic layers for AI/LLM consumption and semantic definitions.
• Strong Python skills in cloud environments (Azure Functions) and SQL.
• Exposure to dbt; experience with Azure Data Factory; familiarity with AWS data ecosystems.
• Collaborative leadership, coaching, governance, and raising technical standards.
• Fluent English for global collaboration and meetings.

Responsibilities

• Pipeline Architecture: design, build, and maintain scalable pipelines for batch, real-time streaming, and event-driven data movement.
• Snowflake Platform Ownership: core developer for Snowflake data platform, ensuring performance and modeling.
• AI Readiness & Semantic Modeling: build semantic layers and data inputs to power AI features and Self-Service interfaces.
• Data Mesh Enablement: establish reference architectures, templates, and CI/CD practices for cross-team adoption.
• Leadership & Mentorship: manage one data engineer and mentor self-taught analysts.
• Modernization & Tooling: drive dbt adoption and integrate AWS/Azure data tools to optimize data flow.

Skills

Data engineering

Snowflake

Data integration

Semantic modeling

Python

SQL

dbt

Azure Functions

Azure Data Factory

Data governance

English communication

Tools

Azure Data Factory

dbt

Stream Analytics

Azure Functions

Snowflake

Job description

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.