Blend, Bogota, D.C., Capital District, Colombia
Overview
We are seeking a skilled Data Engineer Manager with strong experience in Snowflake and Python to help design and implement an end-to-end data architecture for a leading enterprise client's marketing team.
This role is part of a strategic initiative to enable robust analytics and insight generation for marketing and martech use cases.
You will work closely with Blend’s internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for reporting, analytics, and operational workflows.
This position is ideal for engineers with a strong data foundation who want to apply their skills in analytics, BI, and marketing tech environments while gaining exposure to modern data tools and scalable architectures.
Responsibilities
- Design and implement an end-to-end data solution architecture tailored to marketing analytics and martech needs.
- Build, maintain, and optimize data pipelines and transformations using Python and Snowflake.
- Support analytics and BI teams by ensuring clean, reliable, and well-modeled data.
- Leverage tools like Fivetran and dbt (if available) to orchestrate ELT processes.
- Collaborate with cross-functional teams to align on business goals and technical requirements.
- Contribute to documentation and continuously improve engineering and data quality processes.
Qualifications
- 6+ years of experience in data engineering.
- Proficiency in Python for data workflows and pipeline development.
- Strong experience in MLOps, including automation of machine learning pipelines, model deployment, and production monitoring.
- Solid experience working with Snowflake or similar cloud data platforms.
- Experience (or familiarity) with marketing data, martech tools, or marketing analytics use cases.
- Understanding of analytics/BI environments and how data supports decision-making.
- Exposure to tools like dbt and Fivetran is a plus.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Strong communication and documentation skills.
- Ability to thrive in collaborative, client-facing environments.
Preferred Qualifications
- Hands-on experience with dbt, Fivetran, or similar modern data stack tools.
- Familiarity with CI/CD pipelines or infrastructure-as-code practices.
- Experience in client services, consultancy, or agency settings.
Language Requirements
You must have excellent written and verbal English communication skills.
Our Perks and Benefits
- Certifications in AWS, Databricks, and Snowflake.
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business for thousands of courses to boost technical and soft skills.
- English lessons to support professional communication.
- Career development plans and mentorship programs.
- Company-provided equipment and celebrations of personal milestones.
- Flexible working options.
Other benefits may vary by location; consult with recruiters for details.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries
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