Integrations Engineer, Twilio

• 3+ years of experience in data integration, data engineering, or data management, with a focus on data activation
• Experience with marketing technology stacks, CRM platforms (e.g., Salesforce), and data activation tools (e.g., Segment, BlueConic)
• Hands-on experience with ETL (Extract, Transform, Load) processes and data pipelines
• Strong proficiency in SQL, Python, or other programming languages for data processing and automation
• Experience with data integration platforms (e.g., Fivetran, Stitch) and cloud technologies (AWS, Google Cloud, Azure)
• Familiarity with Customer Data Platforms (CDPs) and data activation platforms (e.g., Segment, Tealium)
• Knowledge of data privacy laws (e.g., GDPR, CCPA) and best practices for data governance
• Strong problem-solving skills and the ability to troubleshoot data issues across multiple platforms
• Excellent communication skills, with the ability to work cross-functionally with marketing, product, and sales teams

Desirable

• This position is needed to deliver exceptional data-driven experiences for our customers
• Help us unlock the full potential of our customer and business data!
• As an Integrations Engineer on our Data Activation & Enablement team, you will ensure data is integrated, processed, and activated across multiple systems to create actionable insights and personalized customer experiences
• You will work closely with teams across the organization—such as marketing, analytics, data science, product, sales, and customer success—to streamline data workflows, automate processes, and drive results through data-driven initiatives
• Your work will directly affect the company’s ability to understand its customers, respond to their needs, and deliver exceptional experiences
• You'll help turn insights into actions, fueling personalized marketing campaigns, product innovations, and customer-centric strategies that ultimately lead to business growth and competitive advantage
• You'll be at the heart of making data the most valuable asset for the company
• Integrate data from various sources (e.g., CRM, transactional systems, marketing platforms) into central systems (e.g., Customer Data Platform or CDP)
• Work with cross-functional teams to activate customer and business data across marketing automation tools, CRM systems, and other customer engagement platforms
• Ensure that data flows seamlessly between systems and is optimized for usage in marketing, sales, and customer experience initiatives
• Design and implement data pipelines that transform raw data into actionable insights, ensuring that data is cleaned, structured, and ready for analysis or activation
• Work with business stakeholders to understand data requirements and translate them into effective data processing solutions
• Optimize data workflows for performance and scalability
• Automate data workflows to ensure that data is continuously updated, accurate, and available for real-time activation
• Implement scheduling and automation processes that reduce manual intervention and streamline data management tasks
• Utilize scripting and automation tools (e.g., Python, SQL, Apache Airflow) to optimize data processes
• Collaborate with marketing, product, sales, engineering, and customer success teams to understand their data needs and activate data across the right channels
• Help teams leverage customer data for personalized marketing campaigns, sales outreach, and customer service initiatives
• Provide technical support for teams using data activation platforms to ensure they can effectively leverage data for their needs
• Ensure that customer and business data is used in compliance with relevant data privacy regulations (e.g., GDPR, CCPA)
• Implement data security best practices, including encryption, access control, and auditing
• Maintain data quality by monitoring data flows, identifying discrepancies, and addressing issues as they arise
• Monitor the performance of data activation workflows and troubleshoot any issues that arise
• Analyze data workflows to identify bottlenecks, optimize performance, and improve overall system efficiency
• Regularly test data pipelines to ensure high availability and reliability of activated data
• Stay up-to-date with the latest trends and technologies in data activation and integration
• Identify opportunities to improve the data activation infrastructure, recommending new tools or methodologies to enhance efficiency
• Evaluate new technologies, tools, and platforms that could help streamline data activation and improve business outcomes