Senior Data Engineer — Snowflake & Dbt (Wealth Management)

Dataart; Cajamar; Presencial; BRL 180 000 - 300 000; Tempo integral

Resumo da oferta

DataArt in Cajamar, São Paulo, Brazil, seeks a Senior Data Engineer to join a wealth management platform. You will own end-to-end data pipelines, from ingestion to transformation, ensuring Snowflake is fast for analytics.

You will build scalable pipelines, create DBT transformations, orchestrate with Prefect, and connect data from SaaS tools via Workato. Collaborate with Tableau developers and stakeholders on reporting.

Qualificações

• Strong SQL and advanced data modeling are required.
• Hands-on experience with ETL/ELT processes and API-based ingestion.
• Experience with Snowflake and DBT in a data platform context.

Responsabilidades

• Build and maintain scalable data pipelines loading 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.
• Design data models for portfolio, client, and reporting needs.
• Ensure data quality, lineage, and governance; optimize Snowflake performance.

Conhecimentos

SQL

Data modeling

ETL/ELT patterns

API ingestion

Ferramentas

Snowflake

DBT

Prefect

Airflow

Workato

Tableau

Descrição da oferta de emprego

Senior Data Engineer — Snowflake & DBT (Wealth Management) DataArt cajamar, 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 modeling
• 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