Lead Data Engineer, GFT
Core
Lead Data Engineer designing and developing a central Finance Data Platform on public cloud for data acquisition, standardization, enrichment, and provisioning of financial datasets to support analytics and reporting.
Role type
Lead Data Engineer (Finance Data Platform)
Builds
Central repository of finance datasets (positional/trade, sub-ledger, general-ledger trial balances, reference data) supporting reconciliation, analytics, and reporting.
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data architecture, ETL framework design, Data transformation, SQL, Python/Scala/Java, Cloud architecture, Data governance, API development, Generative-AI tools
Preferred skills
Cloud migration, Capital Markets middle/back-office experience, Financial services products
Technologies
Cloudera Data Platform, Microsoft Azure, AWS, Databricks, Snowflake, DBT, Apache Airflow, Stonebranch UAC, Control-M, OpenShift, Docker, Kubernetes, FastAPI, GitHub Actions, LDAP, Kerberos, OAuth 2.0, Microsoft Entra ID, HashiCorp Vault
Responsibilities
Design and develop new and existing data pipelines; Build and implement ETL frameworks to improve code quality; Develop scripts for data conversion; Ensure accuracy and consistency of data processing and reporting; Collaborate with Business architecture, System architecture, and Data Stewards.
Seniority
Senior, hands-on IC with leadership responsibilities