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