[Hiring] Senior Data Engineer @Quantiphi

Role Description

We are seeking an experienced Senior Data Engineer with 8+ years of expertise to design, build, and optimize high-performance data infrastructure supporting Asset-Backed Finance (ABF) investment and portfolio analytics. In this role, you will lead the modern data platform initiatives, building robust ETL/ELT architecture in Snowflake, orchestrating complex workflows with Dagster, and leveraging modern AWS cloud services. You will also support critical migration efforts from legacy systems and contribute light project management oversight to ensure smooth, cross-functional execution.

Responsibilities

• Design, build, and maintain cloud-native data pipelines and datalake architectures (Snowflake) to support ABF investment and portfolio analytics
• Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate data from structured and unstructured sources
• Support analytics and reporting use cases, including data reconciliation, validation, and financial data integrity checks
• Support the migration from legacy systems to a modern data platform, including data mapping, transformation logic, and architecture alignment
• Contribute to light project management activities, including:
  • Breaking down work into Epics/User Stories (Jira)
  • Supporting project planning, timelines, and coordination across teams
  • Assisting with testing, cutover planning, and go-live readiness

Qualifications

• 8+ years of progressive experience in data engineering, data platform development, or enterprise analytics
• Proven track record building enterprise data models and warehouse architectures within financial services, investment management, or ABF/portfolio analytics domain contexts

Requirements

• Data Warehousing: Advanced proficiency in Snowflake (SQL performance tuning, architecture, security, and schema design)
• Orchestration: Hands-on expertise using Dagster for workflow orchestration, dependency management, and monitoring
• Cloud Infrastructure: Deep familiarity with core AWS services (e.g., S3, Glue, Lambda, IAM, ECS, EMR, or Redshift)
• Data Pipelines & Languages: Expert-level mastery of Python and advanced SQL for complex data transformation and ELT design
• Tooling & PM: Proficient with Jira for backlog management and Agile sprint planning

Benefits

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a part of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!