Integration Engineer, Customer Data Platform

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $100M Private Equity Round on 2022-08

Artificial Intelligence • Enterprise • Consulting

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Design, develop, and maintain integrations between different systems and platforms using APIs and other integration technologies. • Build and support data pipelines that enable the movement and availability of customer data across platforms. • Work with customer data platforms (CDPs) and related technologies to support customer data management and activation initiatives. • Implement solutions for data matching, identity resolution, and the management of customer identifiers across different systems. • Ensure data quality, consistency, and reliability across integrated platforms. • Troubleshoot integration issues and identify opportunities to improve existing processes. • Collaborate with engineering, data, and business teams to understand requirements and deliver effective solutions. • Support secure handling of customer data, including working with encrypted or hashed identifiers.

🎯 Requirements

• Experience building and maintaining production API integrations, including REST APIs, authentication, rate limits, retries, error handling, and scalable integration patterns. • Experience with identity resolution, audience matching, and secure handling of hashed identifiers. • Strong Python and SQL skills, with experience working directly with cloud data platforms such as Snowflake. • Experience designing reusable and scalable integration solutions. • Ability to work independently and take ownership of technical initiatives. • Nice-to-Have Skills: Experience with Customer Data Platforms (CDPs) or customer data ecosystems. • Experience with marketing platform activation APIs or similar technologies, such as mParticle, Segment, LiveRamp, Braze, or equivalent platforms. • Experience with first-party data activation, audience management, or marketing technology integrations. • Experience working with media, advertising technology, or streaming platforms. • Familiarity with CDP governance and modern data engineering practices.

🏖️ 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. • 🛫 Travel opportunities to attend industry conferences and meet clients. • 👩‍🏫 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.