Quantiphi

Data Engineer

• Lead vision for a next-generation data layer designed specifically for Agentic AI.
• Define high-performance schemas and orchestrate hybrid-database environments.
• Act as primary technical liaison for customers and lead discovery workshops.
• Establish benchmarks for data latency and retrieval accuracy for real-time demands.

Senior Data Engineer – AI Platforms

Architect

• Work with business users and other stakeholders to understand business processes. Ability to design and implement Dimensional and Fact tables
• Identify and implement data transformation/cleansing requirements
• Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
• Develop conceptual, logical and physical data models with associated metadata including data lineage and technical data definitions
• Design, develop and maintain ETL workflows and mappings using the appropriate data load technique Provide research, high-level design and estimates for data transformation and data integration from source applications to end-user BI solutions.
• Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.
• Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.
• Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.
• Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract, and transform into reporting & analytics.
• Build transformation Jobs on SnowFlake to transform source data to target schema used in BI tools.
• Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.
• Train business end-users, IT analysts, and developers.

Senior Data Engineer – AI Platforms

Data Architect – Snowflake