Senior Martech Engineer

Summary

Join Blend, a leading AI services provider, as a highly skilled Data Engineer with expertise in Snowflake and Customer Data Platforms (CDPs). In this role, you will act as the Solution Architect for the MarTech ecosystem, designing, implementing, and optimizing data pipelines. You will integrate data flows across multiple systems, ensuring accuracy and performance, and work with cross-functional teams to meet client and product requirements. This position requires 7+ years of experience in Data Engineering or Integration roles and a deep understanding of the MarTech ecosystem. You will need excellent written and verbal English skills. The position offers flexible working options and various benefits, including learning opportunities, mentorship, and celebrations.

Requirements

• 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
• You will need excellent written and verbal English for clear and effective communication with the team
• In order to thrive in this role, you must have at least 7+ years of experience in Data Engineering or Integration roles

Responsibilities

• 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

Preferred Qualifications

Understanding of data privacy regulations (GDPR, CCPA, etc.) is a plus

Benefits

• 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
• Career development plans and mentorship programs to help shape your path
• 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