Senior Data Analyst – Digital Data Platform

Jobtailor; São Paulo; Presencial; BRL 300 000 - 540 000; Tempo integral

Resumo da oferta

Jobtailor is seeking a Chapter Lead for Data Engineering to drive architecture, standards, and team development. You will bridge squads and stakeholders, shaping the Digital Data Platform to enable scalable analytics across MarTech and AdTech ecosystems.

You will lead initiatives around Data Quality, observability, and cost optimization while partnering with product teams to drive measurable outcomes.

Qualificações

• Requires leadership of data engineering teams and product-minded mindset.
• Experience with large-scale data platforms (data lakes/warehouses/lakehouses).
• Proficiency with SQL in analytical environments and data modeling.

Responsabilidades

• Lead data engineering discipline and promote best practices.
• Architect event-driven solutions for streaming analytics.
• Manage ETL/ELT processes and data catalogs.
• Oversee end-to-end observability of data platforms and FinOps optimization.

Conhecimentos

Data Engineering Leadership

Cloud-Based Big Data

Event-Driven Architectures

Advanced SQL Proficiency

Agile Methodologies

Data Quality Practices

Observability & Monitoring

Team Leadership

Formação académica

Data Engineering Certification

Cloud Certification

Ferramentas

GCP

Databricks

Kafka

Pub/Sub

Dbt

Airflow

Cloud Composer

Dataform

Google Analytics 4

Salesforce Data Cloud

Descrição da oferta de emprego

• Serve as the Chapter Lead for the Data Engineering discipline
• Lead best practices, technical standardization, and the team’s continuous development
• Manage data and technologies for the Digital Data Platform
• Serve as the bridge between squads and solution users/customers
• Architect event-driven solutions for Streaming Analytics
• Promote Data Quality practices in the context of Digital Analytics
• Ensure end-to-end observability of the TagOps platform
• Catalog data for business consumption and integration with other data products
• Develop ETL/ELT processes using structured and semi-structured data
• Manage APIs with a focus on MarTech and AdTech ecosystems
• Drive continuous optimization of infrastructure and processing costs through FinOps

Requirements

• Bachelor’s degree in Systems Analysis, Computer Engineering, Computer Science, Statistics, or a related field
• Data and platform component productization mindset
• Experience with agile methodologies such as Scrum and Kanban
• Experience with productivity metrics, including Cycle Time, Lead Time, and Throughput
• Experience with product metrics, preferably the AARRR and HEART frameworks
• Strong command of cloud-based Big Data solutions, including GCP and/or Databricks
• Extensive experience with complex ecosystems, including Data Lakes, Data Warehouses, Data Lakehouses, and Data Mesh
• Advanced SQL proficiency for data manipulation in analytical environments
• Experience with NoSQL/document databases such as Firestore
• Experience with large-scale analytics platforms such as BigQuery
• Experience with event-driven architectures, Kafka, and Pub/Sub
• Hands‑on experience with dbt, Airflow, Cloud Composer, Dataform, Funnel, or similar tools
• Experience ingesting and modeling data from Google Analytics 4, VWO, AppsFlyer, Facebook/Meta Ads, Google Ads, and similar platforms
• Preferred: experience with Salesforce Data Cloud, Tealium, Segment, Adjust, Oracle Cloud/OCI, and/or AWS
• Preferred: postgraduate degree, MBA, or specialization in Data, Software Architecture, or Analytics
• Preferred: active certifications in Cloud or Data Engineering

Core Competencies

Demonstrates expertise in Data Engineering, focusing on architecting event-driven solutions, managing cloud-based Big Data platforms, and optimizing data processes. Proficient in leading teams, promoting data quality, and implementing best practices in analytics.

Highest-signal resume keywords

• Data Engineering Leadership
• Cloud-Based Big Data Solutions
• Event-Driven Architectures
• Advanced SQL Proficiency
• Agile Methodologies

ATS Optimization Keywords

Hard Skills

• ETL Processes
• Data Manipulation
• Data Cataloging
• Data Quality Practices
• Streaming Analytics
• APIs Management
• Productivity Metrics
• Data Lakes
• NoSQL Databases
• Analytics Platforms

Soft Skills

• Team Leadership
• Communication
• Collaboration
• Continuous Improvement

Certifications & Qualifications

• Cloud Engineering Certification
• Data Engineering Certification

Industry Keywords

• Digital Data Platform
• MarTech
• AdTech
• Data Warehouses
• Data Lakehouses
• Data Mesh
• FinOps
• AARRR Framework
• HEART Framework
• Product Metrics

Tools & Technologies

• GCP
• Databricks
• Kafka
• Pub/Sub
• Dbt
• Airflow
• Cloud Composer
• Dataform
• Google Analytics 4
• Salesforce Data Cloud