TaskUs
B2B • SaaS • Finance
TaskUs is a business process outsourcing company that provides digital transformation and technology services to various industries. They offer services including digital customer experience, trust and safety, learning as a service, sales outsourcing, and consulting. TaskUs also specializes in compliance and managing financial crimes, as well as offering AI and data services through their GenAI platform. The company is globally recognized for its high-performance teams, cutting-edge technology, and comprehensive solutions that support industries like entertainment and gaming, financial services, healthcare, social media, retail, and eCommerce.
10,000+ employees
Founded 2008
🤝 B2B
☁️ SaaS
💸 Finance
💰 Private Equity Round on 2018-08
VP, Data Engineering, Architecture
November 5
TaskUs
B2B • SaaS • Finance
TaskUs is a business process outsourcing company that provides digital transformation and technology services to various industries. They offer services including digital customer experience, trust and safety, learning as a service, sales outsourcing, and consulting. TaskUs also specializes in compliance and managing financial crimes, as well as offering AI and data services through their GenAI platform. The company is globally recognized for its high-performance teams, cutting-edge technology, and comprehensive solutions that support industries like entertainment and gaming, financial services, healthcare, social media, retail, and eCommerce.
10,000+ employees
Founded 2008
🤝 B2B
☁️ SaaS
💸 Finance
💰 Private Equity Round on 2018-08
📋 Description
• lead the strategy, design, and implementation of our enterprise data ecosystem • define how data is structured, stored, and leveraged to drive analytics, automation, and AI initiatives across the organization • design and implement scalable, high-performance data architectures — including data warehouses and data lakes — that support enterprise analytics • lead the design, development, and maintenance of reliable data pipelines and integration processes • apply expertise in OLAP and OLTP system design to optimize database and query performance for analytical and transactional workloads • partner with automation, AI, and software development teams to align data systems with business needs • ensure clean, well-structured data for Power BI and other analytics tools • establish robust data governance standards, metadata management, and quality frameworks • build and mentor a high-performing team of data engineers and architects
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field • 10+ years of experience in data engineering, architecture, or related fields • proven experience designing and implementing large-scale data warehouses and data lakes using AWS Redshift and/or SQL Server • strong understanding of OLAP and OLTP systems, data modeling, and database optimization • advanced proficiency in SQL and enterprise data integration practices • experience with Power BI or similar BI tools for enterprise reporting and visualization • familiarity with AI/ML data preparation, semantic data modeling, and natural language query enablement is a strong plus • excellent communication and stakeholder management skills
🏖️ Benefits
• competitive industry salaries • comprehensive benefits packages • internal mobility encouragement • professional growth opportunities
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