Senior Martech Engineer
Senior Martech Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
- Act as the Solution Architect for the entire MarTech ecosystem including tools for customer segmentation activation and analytics.
- Design implement and optimize data pipelines between Snowflake the CDP and activation tools like Hightouch.
Design and implement scalable data pipelines and transformations using Snowflake and modern data engineering practices. - Integrate data flows across multiple systems including Customer Data Platforms (CDPs) ensuring accuracy consistency and performance.
- Work closely with cross-functional teams (Data Engineering Security) to align integration solutions with client and product requirements.
- Deploy and optimize medallion architecture patterns to support scalable and modular data processing.
- Operate within secure network environments following best practices for data privacy compliance and infrastructure access control.
- Troubleshoot complex integration issues and provide timely high-quality support to clients.
Qualifications :
- Deep understanding of the MarTech ecosystem including customer data flow segmentation activation and measurement.
- Hands-on experience with Snowflake and building data pipelines that support marketing use cases.
- Familiarity with Hightouch or Matillion or similar Reverse ETL tools.
- Deep understanding of Customer Data Platforms (CDPs) and data ingestion best practices.
- Proven experience with medallion architecture deployment in production environments.
- Familiarity with secure network configurations and data handling in enterprise environments.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and client-facing experience.
- Experience working with modern data tools (e.g. dbt Airflow Fivetran).
- Familiarity with cloud platforms such as AWS Azure or GCP.
- Understanding of data privacy regulations (GDPR CCPA etc.) is a plus.
What about languages
You will need excellent written and verbal English for clear and effective communication with the team.
How much experience must I have
In order to thrive in this role you must have at least 7 years of experience in Data Engineering or Integration roles.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
- Certifications in AWS (we are AWS Partners) 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 offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
- Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
- Company-provided equipment.
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
A diverse workforce is a strong workforce
To deliver growth at BLEND360 and for our clients we believe we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history our growth and continues to have a profound impact on our success. We are determined to have equality in the workplace within our team and as an extension of our clients team.
So what are the next steps
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and well explore working together!
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
