Senior Data Engineer (Snowflake)
What would you build if you had the opportunity to help shape a new enterprise data platform from the start?
Do you have deep, hands-on Snowflake experience and enjoy working across SQL, Python, data pipelines, security, CI/CD and cloud data architecture?
And perhaps most importantly, are you looking for a role where you can have a visible impact on how an established investment management firm builds its future data capabilities?
If so, we’d like to meet you.
Description
Brandes Investment Partners is building a new Data Office, and we are seeking a Senior Data Engineer (Snowflake) to join as a founding member of the team. You’ll serve as the primary internal engineering owner of our Snowflake platform and help establish the architecture, engineering standards and long-term data foundation supporting reporting, analytics and AI across the firm. The annual base salary range we reasonably expect to pay for this role is $160,000 to $190,000. Placement within the range will depend on several factors, including the candidate’s experience, skills, qualifications, and overall fit for the position, as well as internal equity considerations and market conditions.
Responsibilities
This is a hands-on senior engineering role with the opportunity to help shape the environment from the beginning. You will:
- Design and evolve our Snowflake architecture, including environments, databases, schemas, virtual warehouses and data-sharing patterns.
- Build reliable ingestion and transformation pipelines from enterprise applications, SaaS platforms, custodians, market and reference data providers, APIs and other sources.
- Establish strong practices around security, role-based access, observability, automated testing, Git and CI/CD.
- Help optimize platform performance, reliability and Snowflake cost management.
- Create reusable engineering patterns and standards that support both internal employees and consulting partners.
- Review consultant-developed code and architecture while helping ensure critical technical knowledge stays within Brandes.
- Partner with our Senior Analytics Engineer, Technology teams and business stakeholders to build durable data solutions.
- Write advanced SQL and Python, troubleshoot complex problems and create reliable data pipelines.
- Set the technical bar and establish engineering standards.
- Collaborate effectively with technical teams, business stakeholders and outside consulting partners?
This isn't simply a role maintaining an existing data environment.
It's an opportunity to join the Data Office at an important stage of its development and have direct influence over how the foundation is built. The position has ownership of the Snowflake engineering platform while working alongside the Data Office Director, Senior Analytics Engineer and consulting partners who provide additional capacity and specialized expertise.
If you're the kind of engineer who sees a greenfield environment and thinks, “I want to help build that,” we'd like to hear from you.
Job Requirements
We’re looking for someone with a Bachelor’s Degree in Computer Science, Information Systems, Engineering or a related discipline, or equivalent practical experience, along with at least seven years of relevant data engineering experience and meaningful experience building and operating production cloud platforms.
Experience with Snowflake, Terraform, Fivetran, Airflow or Dagster, dbt, Azure Data Lake Storage, data observability and lineage tools is a plus. Financial services, investment management or other regulated-industry experience is also preferred.
Advanced SQL, including complex transformations, query optimization and performance troubleshooting.
Strong Python skills for data engineering, automation and pipeline development.
Solid understanding of cloud data architecture, including layered data design, data lake and warehouse patterns, and cloud storage and integration on a major cloud provider.
Experience implementing data security and role-based access control, including least-privilege design and protection of sensitive data.
We provide equal opportunity to all qualified applicants. All candidates will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, gender expression, sexual orientation, disability status, protected veteran status, marital status, or any other characteristic protected by law.
We offer a welcome and inclusive environment that values diversity and a culture in which employees feel empowered to share their perspectives.
Brandes Investment Partners, L.P. will not request credit information or reports (or other sensitive information) from a job candidate via email. Please report any suspicious emails from Brandes at Careers@Brandes.com.
The salary range for this position represents what we reasonably expect to pay at the time of hire. Actual compensation will be based on a variety of factors as permitted by law, including relevant experience, skills, education, and work location. We are committed to equitable and transparent pay practices.