27 days ago
Responsibilities
- Design, build, and maintain cloud-native data pipelines and Snowflake data lake architectures for asset-backed finance investment and portfolio analytics.
- Develop and manage scalable ETL/ELT workflows for structured and unstructured data.
- Support analytics and reporting through data reconciliation, validation, and financial data integrity checks.
- Support migration from legacy systems through data mapping, transformation logic, and architecture alignment.
- Contribute to project planning, timelines, cross-team coordination, testing, cutover planning, and go-live readiness.
- Break work into Epics and User Stories and support backlog management in Jira.
Requirements
- 8+ years of progressive experience in data engineering, data platform development, or enterprise analytics.
- Experience building enterprise data models and warehouse architectures in financial services, investment management, or asset-backed finance and portfolio analytics contexts.
- Advanced Snowflake proficiency, including SQL performance tuning, architecture, security, and schema design.
- Hands-on Dagster expertise for workflow orchestration, dependency management, and monitoring.
- Deep familiarity with AWS services including S3, Glue, Lambda, IAM, ECS, EMR, or Redshift.
- Expert-level Python and advanced SQL skills for complex data transformation and ELT design.
- Proficiency with Jira for backlog management and Agile sprint planning.
Benefits
- USA-based remote work arrangement and full-time employment.
- Opportunity to work with Fortune 500 companies and innovative market disruptors.
- Exposure to artificial intelligence, machine learning, data, cloud, and other emerging technologies.
- Opportunity to work with an energetic, globally diverse team at an AI-first digital engineering and consulting company.
About Quantiphi
Quantiphi is an AI-first digital engineering and consulting firm that designs and implements machine learning, data, and cloud solutions for large enterprises across industries. Its teams build production systems—such as generative AI applications, computer vision, and predictive analytics—primarily on Google Cloud and other hyperscalers, delivered as professional services and managed solutions. Founded in 2013 and headquartered in Marlborough, Massachusetts, the company is privately held and a Google Cloud partner.