Data Platform Architect

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TaskUs

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2008

🏥 Healthcare

📦 Logistics

📣 Marketing

💰 Private Equity Round on 2018-08

Healthcare • Logistics • Marketing

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.

📋 Description

• Lead architectural decisions for compute engine selection, open-table format implementation, and tiered storage design • Architect a decoupled, interoperable data environment that avoids proprietary vendor lock-in • Design and oversee automated data governance, including PII discovery, row/column-level security, and auditability • Define data pipeline completion standards, coding standards, CI/CD patterns, and technical documentation requirements • Maintain a version-controlled repository of architectural decision records documenting rationale, trade-offs, and long-term implications • Monitor and optimize platform performance and cloud spend while maintaining high query performance and a lean cloud footprint • Conduct code and design reviews for data models and orchestration workflows • Mentor and unblock senior engineering staff • Translate technical debt and architectural roadmaps for C-level executives

🎯 Requirements

• 8+ years in data engineering or architecture • Proven experience delivering production-grade Lakehouse environments for organizations with 1,000+ concurrent users • Extensive experience with Databricks Lakehouse and Unity Catalog • Experience with Amazon Redshift or Snowflake • Deep hands-on expertise with Apache Iceberg or Delta Lake, including partitioning optimization and schema evolution • Mastery of dbt Core for complex SQL-based modeling • Proficiency in PySpark or Python for sophisticated data processing • Familiarity with DuckDB • Advanced Apache Airflow experience designing resilient, dependency-aware DAGs in resource-constrained environments • Expert-level knowledge of AWS services such as S3, EC2, and IAM, or equivalent Azure/GCP services • Experience with Apache Polaris or other open-source catalog implementations • Knowledge of DataOps principles and automated data quality testing frameworks • Experience translating technical debt and architectural roadmaps for C-level executives • Experience managing fixed-resource infrastructure versus elastic serverless models • Deep understanding of Kubernetes, including Pods, Deployments, Services, ConfigMaps, and Secrets management

🏖️ Benefits

• Competitive industry salaries • Comprehensive benefits packages • Employee well-being support • People First culture • Inclusive environment • Professional growth opportunities • Internal mobility opportunities • Reasonable accommodations during the hiring process • State-of-the-art workspaces • Top-notch benefits • Career growth support