Senior Data Engineer — Snowflake & Dbt (Wealth Management)

Dataart

Boituva

Presencial

BRL 180 000 - 320 000

Tempo integral

Há 4 dias
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Resumo da oferta

DataArt is seeking a Senior Data Engineer to build a scalable data platform for a global wealth management firm. You will own end-to-end data pipelines, ensure Snowflake performance, and enable complex analytics for leadership and advisors.

Key responsibilities include DBT transformations, orchestration with Prefect, and integrating data from financial tools to support reporting in Tableau.

Qualificações

  • 7+ years in data engineering, building modern data platforms.
  • Strong SQL and advanced data modelling capabilities.
  • Experience with ETL/ELT patterns and API-based ingestion.

Responsabilidades

  • Build and maintain scalable data pipelines loading data into Snowflake.
  • Create and manage DBT transformations: modeling, testing, documentation.
  • Design and run complex data workflows with Prefect.
  • Use Workato to connect data from SaaS tools like Addepar, NetSuite, Salesforce, Morningstar, UKG.
  • Design data models for portfolio, client, and financial reporting.
  • Maintain data quality, lineage, and governance while optimizing Snowflake cost/performance.
  • Collaborate with Tableau developers and stakeholders to meet reporting needs.

Conhecimentos

SQL
Advanced data modelling
ETL/ELT patterns
APIs
Wealth management domain
Financial data knowledge

Ferramentas

Snowflake
DBT
Prefect
Airflow
Workato
Tableau
Python

Descrição da oferta de emprego

Senior Data Engineer — Snowflake & DBT (Wealth Management) DataArt•boituva, estado de são paulo, br

Descrição da vaga

We are looking for a Senior Data Engineer to join a data platform team building a large, scalable data ecosystem for a global wealth and asset management firm. The data gives C-level leaders and advisors one reliable place for reporting and decision-making.

You will own data pipelines end to end, from ingestion to transformation, and make sure the Snowflake warehouse is fast and ready for complex wealth management analytics.

Must-have skills (please apply only if you have all of these):

  • Strong hands-on experience with Snowflake and DBT
  • Experience in the financial domain
  • Experience in the wealth management domain

What you will do

  • Build and maintain scalable data pipelines that load data into Snowflake
  • Create and manage DBT transformations: modeling, testing, and documentation
  • Design and run complex data workflows with Prefect
  • Use Workato to connect data from SaaS tools like Addepar, NetSuite, Salesforce, Morningstar, and UKG.
  • Design data models for portfolio, client, and financial reporting
  • Keep data quality, lineage, and governance strong, while optimizing Snowflake performance and cost
  • Work with Tableau developers and business stakeholders to meet reporting needs

What we look for

  • 7+ years in data engineering, building modern data platforms
  • Strong SQL and advanced data modelling
  • Experience with ETL/ELT patterns and API-based ingestion
  • Hands-on with orchestration tools like Prefect or Airflow
  • Good understanding of financial / wealth management data structures

Nice to have

  • DBT certification.
  • Experience supporting Tableau reporting layers
  • Background with market data providers like Bloomberg or Morningstar
  • Python for data engineering tasks
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