Senior Data Engineer, Data Architecture

Beyond Soluções

Engenheiro de Dados Sênior projetando plataforma financeira moderna para a Monte Bravo. Atuação em arquitetura, pipelines, Airflow, Redshift, dbt e otimização de dados.

Posted 8/11/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering with a focus on architectural design, deployment of analytical data platforms, and advanced proficiency in Python and SQL. Capable of implementing dimensional modeling and managing data workflows using tools like Apache Airflow and dbt.

Highest-signal resume keywords

Data EngineeringArchitectural OwnershipPython ProgrammingDimensional Modeling (Kimball)Apache Airflow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringArchitectural DesignPythonSQLDimensional ModelingApache AirflowDbtPerformance ModelingVersion Control (Git)CI/CD

Soft Skills

Incident ResponseCollaborationProblem Solving

Tools & Technologies

Amazon RedshiftSnowflakeBigQueryDatabricksTerraformLakehouseKafkaDebeziumKinesisPower BI

Industry Keywords

Financial Market DataRegulatory DataCVMBACENBSMANBIMA

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSBigQueryKafkaPandasPythonSQLTerraform

About the role

Key responsibilities & impact

Design Data Engineering solutions with architectural ownership.
Deploy and operate analytical data platforms in production.
Respond to incidents, participate in on-call rotations, and work in high-criticality environments.
Develop modular, testable, version-controlled code in Python.
Create and maintain Apache Airflow DAGs, sensors, backfills, dependencies, and failure handling.
Work with cloud MPP Data Warehouses, preferably Amazon Redshift.
Implement versioned, tested transformations using dbt or equivalent tools.
Apply Kimball dimensional modeling, including facts, dimensions, granularity, SCDs, bridge tables, and snapshots.
Use Git, code review, and CI/CD in data projects.
Model and diagnose performance, demonstrating optimizations with before-and-after metrics.
Preferred/beneficial: experience with financial and regulatory market data, AWS/Terraform infrastructure, Lakehouse, streaming/CDC, data quality and cataloging, BI, and relevant migrations.

Requirements

What you’ll need

6+ years of experience in Data Engineering, with at least 2 years in an architectural role.
Proven experience deploying and operating analytical data platforms in production.
Experience with incidents, on-call duty, and high-criticality environments.
Advanced SQL, including window functions, recursive CTEs, reading execution plans, and diagnosing skew and disk spill.
Strong experience with Python for Data Engineering, including Pandas/Polars, typing, and automated testing.
Experience with Apache Airflow in production, including DAGs, sensors, backfills, dependencies, and failure handling.
Experience with cloud MPP Data Warehouses, preferably Amazon Redshift; knowledge of Snowflake, BigQuery, or Databricks is a plus.
Experience with dbt or equivalent tools for versioned transformations and applying tests.
Proficiency in Dimensional Modeling (Kimball), including facts, dimensions, granularity, SCD Type 1 and 2, bridge tables, and snapshots.
Experience with Git, code review, collaborative development, and CI/CD in data projects.
Experience in performance modeling and diagnosis.
Nice-to-haves: financial market experience; regulatory data (CVM, BACEN, BSM, ANBIMA); Terraform and AWS; Iceberg, Delta and Lakehouse; Kafka, Debezium and Kinesis; Great Expectations, Soda, DataHub and OpenMetadata; Power BI, Metabase and Looker; relevant migrations with parity validation.

Benefits

Comp & perks

Flash Card - R$ 936.00 per month for flexible use on food, meals, and mobility.
SulAmérica Health Plan - no co-payment or deductions.
SulAmérica Dental Plan - no co-payment or deductions.
Life Insurance.
Gympass | Wellhub - Access to gyms and physical activities.
TotalPass - Access to gyms, fitness activities, wellness, and sports.
SESC partnership - Benefits for culture, leisure, sports, and wellness.
Creditas - Access to financial benefits, loans, and pension plan options.
Continuous exchange of tech talent.
Redeployment to new internal projects.
Direct contact with leadership and clients.
Close support from the People team and Business Partner (BP).