Senior Data Engineer

N5X

Senior Data Engineer leading evolution of corporate data architecture at N5X, a trading platform for Brazilian energy market.

Posted 7/23/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced expertise in Data Architecture, including the design and implementation of Data Lakes, Data Warehouses, and Lakehouse environments. Proficient in data modeling, governance, and building robust data pipelines while ensuring data quality and security.

Highest-signal resume keywords

Data ArchitectureData ModelingData GovernanceAdvanced SQLCloud Environments

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Modeling StandardsData LakeData WarehouseData Pipeline DevelopmentEvent-Driven ArchitectureAmazon RedshiftPython ProgrammingETL/ELT ProcessesData Quality AssuranceData Lineage

Tools & Technologies

Amazon S3AWS LambdaAmazon EventBridgeAWS DMSKinesis Data FirehoseSNS/SQSGit

Industry Keywords

Single Source of TruthData CatalogingData SecurityData QualityMonitoring and Logging

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloudETLGoogle Cloud PlatformNoSQLPythonSQL

About the role

Key responsibilities & impact

Define and evolve the enterprise data architecture.
Lead the design of conceptual, logical, and physical data models.
Define and apply data modeling standards (relational and NoSQL), naming conventions, partitioning, and load strategies.
Lead the implementation and evolution of Data Lake, Data Warehouse, and Lakehouse environments.
Ensure data quality and reliability: data tests, validations, contracts/expectations, monitoring, alerts, and failure handling (DLQ, retries, idempotency).
Define policies for data cataloging, data lineage (Data Lineage), and data security.
Support analytical consumption: creation and maintenance of datasets and support for BI/Analytics, with attention to security.
Promote the elimination of redundancies and inconsistencies, ensuring a single, reliable source of truth (Single Source of Truth).
Work in partnership with business squads and cross-functional teams to turn data into strategic assets.
Support data governance and architecture initiatives aligned with organizational needs.
Develop and maintain ingestion and processing pipelines (batch and near real-time) for internal and external sources.
Implement event-driven and scheduled architectures using EventBridge, Lambda, S3 events, and messaging.
Build and optimize data layers in Amazon Redshift, ensuring performance and cost efficiency.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Systems Analysis and Development (ADS), or a related technology field.
Proven experience in Data Architecture.
Advanced expertise in conceptual, logical, and physical data modeling.
Experience with Data Governance, Data Catalog, and Data Lineage.
Experience with Data Lake, Data Warehouse, and Lakehouse architectures.
Advanced SQL (modeling, performance, troubleshooting, query optimization).
Experience defining enterprise data standards and promoting a single, reliable view of information (Single Source of Truth).
Experience in cloud environments (Azure, AWS, and/or GCP).
Strong experience building data pipelines (ETL/ELT) with emphasis on quality, consistency, and observability.
Hands-on experience with: Amazon S3, AWS Lambda, Amazon EventBridge, Amazon Redshift.
Experience with at least one of the following (ideally more than one): AWS DMS, Kinesis Data Firehose, SNS/SQS.
Programming in Python.
Version control (Git) and development practices (code review, standards, documentation).
Experience with monitoring/logging and production troubleshooting.

Benefits

Comp & perks

Bonus: Up to 2 monthly salaries per year.
Work model: Hybrid - 3 days in the office per week; participation in in-person team rituals (currently quarterly), in-person meetings with stakeholders, and events.
Meal allowance: R$ 43.68 per working day.
Food allowance: R$ 832.00 per month.
Transportation allowance or Mobility support: Round trip for in-office days with no payroll deduction.
Health plan: SulAmérica with co-payment for the employee and dependents - children and spouse.
Life insurance: MetLife.
Childcare subsidy: Reimbursement of up to 40% of the base salary for children up to 24 months and 35% for ages 24–71 months.
Financial assistance for employees with children with disabilities: Amount equivalent to 50% of the base salary.
Birthday day off!