CreatorIQ-posted 3 months ago
Senior
Remote • Manila, AR
251-500 employees
Publishing Industries

CIQ is seeking a Senior Data Engineer to architect and build the backbone of our next-generation multi-tenant influencer marketing analytics platform. You'll be responsible for designing scalable data infrastructure that serves enterprise partners through scalable analytics, working with modern analytical databases and BI platforms to deliver real-time insights at massive scale. This is a high-impact role where you'll build systems that process millions of social media posts, creator metrics, and campaign performance data while ensuring strict data isolation and security for our enterprise clients. The location for this role is in the Philippines.

  • Design and implement ETL pipelines migrating from transactional databases to analytical data warehouses
  • Create real-time data ingestion systems processing campaign data, user metrics, and business intelligence
  • Build multi-tenant data models with proper partitioning strategies for enterprise-scale clients
  • Develop data quality frameworks with comprehensive validation, monitoring, and alerting
  • Implement Row-Level Security (RLS) and Role-Based Access Control (RBAC) in analytical databases
  • Design dynamic permission models supporting organization-level and division-level data access
  • Build session-based context management for secure multi-tenant queries
  • Create comprehensive audit trails and access logging for compliance requirements
  • Design database schemas with advanced partitioning and indexing strategies
  • Build materialized views and aggregated tables for real-time analytics
  • Implement query optimization, data skipping, and compression techniques
  • Handle high-concurrency embedded dashboard usage with sub-second query performance
  • Build dashboard data sources with optimized SQL transformations
  • Handle complex data structures and parsing requirements
  • Create flat, denormalized tables optimized for embedded analytics consumption
  • Implement custom field handling for tenant-specific metadata requirements
  • 5+ years of data engineering experience with production-scale systems
  • Expert-level SQL skills with analytical databases (columnar databases preferred)
  • Strong Python programming with data libraries: pandas, numpy, pyarrow
  • Experience with ETL orchestration tools: Apache Airflow, Prefect, dbt, or similar
  • Deep understanding of analytical databases, partitioning strategies, and OLAP optimization
  • Experience building SaaS data platforms with tenant isolation requirements
  • Knowledge of Row-Level Security (RLS) implementation in analytical databases
  • Understanding of RBAC patterns and session-based access control
  • Experience with authentication flows in data systems
  • Familiarity with compliance requirements (SOC2, GDPR) for multi-tenant data
  • Experience with columnar databases: ClickHouse, BigQuery, Redshift, Snowflake
  • Knowledge of streaming data platforms: Apache Kafka, Pulsar, Kinesis
  • Understanding of distributed systems and database replication
  • Experience with embedded analytics platforms and dashboard frameworks
  • Knowledge of semantic modeling and metrics layers
  • Familiarity with data visualization and self-service analytics
  • Experience with real-time data processing and event streaming
  • Knowledge of data mesh or data fabric architectures
  • Understanding of machine learning pipeline integration
  • Experience with data lineage and data catalog tools
  • Work with talented, collaborative, and friendly people
  • Utilize our learning platform, Easyllama, for training and tools
  • Surprise meal stipends for remote work
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