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Urgent! Senior Data Platform Engineer Job Opening In Colombia, Colombia – Now Hiring Waverley Software

Senior Data Platform Engineer



Job description

Senior Data Engineer

We are seeking an exceptional Senior Data Platform Engineer to architect and develop a highly scalable data infrastructure for a fast-growing AI-powered vertical software startup revolutionizing retail and commerce operations.

This role requires designing robust data systems capable of handling massive financial and operational datasets while delivering real-time insights through advanced AI integration.

You will work with cutting-edge data technologies to build the backbone that powers financial forecasting, demand planning, and inventory optimization for leading e-commerce brands at enterprise scale.

Key Responsibilities:

  • Design and implement highly scalable data warehouse architecture and ELT/ETL pipeline systems
  • Build robust data processing pipelines capable of handling massive datasets from diverse eCommerce sources
  • Develop real-time data quality monitoring and fault tolerance systems across the entire data stack
  • Design secure, performant data integrations from external sources to enrich the Drivepoint platform
  • Optimize database queries and pipeline performance for speed and cost efficiency at scale
  • Implement new customer-facing features using TypeScript and Python across multiple product areas
  • Integrate AI/LLM-powered analytics capabilities into data processing workflows
  • Collaborate with cross-functional teams including product managers, customer success, and business stakeholders
  • Ensure data integrity, security, and compliance across all financial and operational data processing

Required Skills and Qualifications:

  • 6+ years of experience in data engineering with strong expertise in SQL-based data warehouses (BigQuery or Snowflake)
  • Extensive experience building and optimizing ELT/ETL pipelines using Airbyte/Fivetran, DBT, and Airflow
  • 4+ years of professional software engineering experience with TypeScript and/or Python
  • Proven track record in designing and building high-scale distributed data systems
  • Strong database design and optimization skills for performance-critical financial analytics applications
  • Experience with modern SDLC frameworks and the ability to deliver both infrastructure and customer-facing features
  • Demonstrated ability to architect systems for massive scale, reliability, and fault tolerance
  • Strong analytical and problem-solving capabilities with complex data processing challenges
  • Excellent communication skills and collaborative approach to technical and business challenges
  • Ability to thrive in a fast-paced startup environment with rapidly evolving requirements

Preferred Skills and Qualifications:

  • Direct experience with financial data processing, forecasting, or eCommerce analytics platforms
  • Experience integrating AI/ML models and building AI agent-powered data processing features
  • Familiarity with real-time data streaming and event-driven architectures
  • Experience working with retail, eCommerce, or financial technology data at scale
  • Knowledge of data governance, quality frameworks, and observability best practices
  • Experience with cost optimization strategies for large-scale data processing workloads
  • Understanding of financial modeling, forecasting methodologies, and business intelligence requirements
  • Comfortable using modern AI tools to accelerate development and problem-solving workflows


Required Skill Profession

Other General



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