Mindcurv is hiring a
Senior Data Architect

Summary

Join our team as an experienced Data Architect to lead data modeling, integration, and management efforts across client projects.

Requirements

• Bachelor's degree in Computer Science, Management Information Systems, or related field
• 10-15 years of relevant consulting or services experience, preferably with enterprise SaaS implementation projects (e.g., CPQ, CRM, SAP, Informatica, PROS, Vendavo, Salesforce CPQ, Apttus)
• Experience with enterprise SaaS implementation projects
• Knowledge of big data technologies and their applications
• Strong understanding of data modeling techniques and tools
• Experience with ETL/data management tools for building inbound and outbound data pipelines (e.g., BOOMI, Mulesoft, Matillion)
• Proficiency in SQL Server or similar RDBMS development, with exposure to Big Data technologies
• Expertise in designing and configuring automated system integration and data exchange tools (APIs, Web services)
• Strong knowledge of performance-oriented design and tuning techniques
• Excellent troubleshooting skills for quickly identifying and resolving quality and performance issues
• Ability to learn new technologies rapidly in a fast-paced environment
• Excellent communications skills with English as the core business language

Responsibilities

• Hands on experience in designing, developing and optimizing SQL Database used for Analytics purposes
• Modeling SQL DB based on business requirements
• Develop complex SQL stored procedures (dynamic stored procedures), views, and triggers to support application and ETL development
• Ensure database structures align with industry best practices and company requirements
• Interface with customer IT groups to acquire and integrate data bidirectionally
• Partner with project teams to implement designs and ensure adherence to best practices
• Assist in identifying and implementing business rules for each assigned project

Benefits

• Pension scheme
• Great salary
• Work-life balance
• Culture of transparency
• Management team with their ears to the ground
• Remote work option