Data Architect for Financial Inclusion

3 weeks ago


Philadelphia, Pennsylvania, United States Perpay - Career's Page Full time
About the Role

As a Senior Data Engineer at Perpay, you will play a pivotal role in designing and optimizing data pipelines and architectures that drive our data products and insights. You will collaborate closely with data scientists, analysts, and other stakeholders to accelerate Perpay's mission of creating inclusive financial products that improve the lives of our members.

The launch of our new credit card has increased demand for advanced data engineering solutions to meet our modeling, reporting, and analytical needs. In this role, you will be at the heart of almost every major release at Perpay, ensuring that our data infrastructure supports a wide array of business functions across risk, commerce, marketing, operations, and more. Your work will directly impact our customers by enabling automated and efficient data-driven services.

Key Responsibilities
  • Design, implement, and maintain complex ETL pipelines using tools such as Apache Spark, Apache Airflow, and AWS Glue for both batch and near real-time data processing
  • Collaborate with data producers to establish robust data contracts and develop advanced data models leveraging Redshift Spectrum and partitioned data lakes
  • Implement advanced data governance strategies, including metadata management, data lineage tracking with tools like Open Lineage, and comprehensive data cataloging using Datahub
  • Partner with cross-functional teams to deliver scalable, high-performance data solutions, optimizing performance and ensuring data quality
  • Analyze and resolve complex data engineering challenges, employing techniques such as indexing, partitioning, and query optimization to enhance performance
Requirements
  • Bachelor's degree or higher in a quantitative/technical field (Computer Science, Statistics, Engineering, Mathematics, Physics, Chemistry)
  • 5+ years of experience in data engineering with a deep understanding of data pipeline design and architecture
  • Proficiency in SQL, Python, and familiarity with cloud-native services on AWS, GCP, or Azure, including Redshift, BigQuery, or Synapse Analytics
  • Extensive experience with data warehousing solutions, ETL/ELT processes, and data orchestration tools such as Apache Airflow or Luigi
What We Offer
  • Competitive salary + company equity ($120,000 - $180,000 per year)
  • 401k with company match
  • Medical / Dental / Vision insurance
  • Flexible Spending Account (FSA)
  • Relocation assistance
  • Pre-tax commuter benefit
  • Student loan repayment match
  • Gym subsidy with City Fitness
  • Cell phone plan
  • Paid parental leave
  • Unlimited PTO

This is not a remote opportunity; it is 100% onsite.



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