Data Engineer, IANS Research

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. Master’s degree preferred
• 3+ years of experience in data management, data architecture, or a similar role
• Hands-on experience with Salesforce, FiveTran, Azure SQL, or equivalent systems
• Knowledge of programming languages such as SQL, Python, or R
• Strong understanding of database management, ETL processes, and data warehousing
• Experience with building and maintaining a data dictionary and ensuring data consistency across platforms
• Excellent vendor management and negotiation skills
• Strong communication skills, with the ability to work across teams
• Familiarity with cloud-based data solutions and modern data stack architectures

Desirable

• We are seeking an experienced Data Engineer to oversee the data architecture and vendor management for our growing company of 200 employees
• The ideal candidate will play a critical role in ensuring that our data infrastructure is robust, scalable, and optimized for efficiency
• You will manage relationships with key data vendors including Salesforce, FiveTran, and Azure SQL, while also ensuring that data governance standards and documentation, including a shared data dictionary, are upheld across all platforms
• Design, implement, and maintain the company’s data architecture to ensure high performance and scalability
• Oversee data integrations, ETL processes, and database management to ensure seamless data flow between systems
• Collaborate with cross-functional teams to understand business needs and translate them into efficient data models and workflows
• Build and maintain a comprehensive, shared data dictionary to ensure consistent definitions and usage of data across the organization
• Ensure data accuracy, consistency, and security across all platforms
• Develop and maintain data governance policies, data standards, and best practices
• Manage relationships with key data vendors (Salesforce, FiveTran, Azure SQL, etc.) to ensure optimal service and support
• Oversee the selection, negotiation, and contract management of data vendor services
• Ensure that vendor solutions align with company goals and that integration processes run smoothly
• Monitor vendor performance, ensuring compliance with service level agreements (SLAs)
• Ensure compliance with data privacy laws (e.g., GDPR, CCPA) and industry regulations
• Implement data security measures to protect sensitive company information
• Conduct regular audits to ensure data integrity and compliance with internal policies
• Ensure that the shared data dictionary is regularly updated and accessible to all relevant stakeholders
• Establish and monitor KPIs for data management performance
• Create reports and dashboards for internal stakeholders to provide visibility into data quality and performance