Senior Enterprise Applications Engineer
Core
Design, build, and optimize scalable data architecture, pipelines, and enterprise applications to power financial consolidation, planning, forecasting, and reporting.
Role type
Senior Enterprise Applications Engineer (Data Engineering & BI)
Builds
Scalable data pipelines, ETL/ELT workflows, data warehouses, and BI dashboards for Finance, Accounting, and FP&A teams.
Domain
Financial Services / Data Engineering / Business Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, ETL/ELT patterns, data modeling, SQL, Snowflake, AWS, Power BI/Tableau, data quality frameworks, project management, Git, AI-assisted development tools.
Preferred skills
AI/ML frameworks (TensorFlow, PyTorch), data orchestration (Airflow, Dagster), cloud-native platforms (Azure Synapse), data governance, CI/CD pipelines, real-time streaming (Kafka).
Technologies
Snowflake, AWS, dbt, Informatica, PostgreSQL, MySQL, SQL Server, Power BI, Tableau, GitHub Copilot, Snowflake Cortex, M365 Copilot, Apache Airflow, Kafka, Kinesis, TensorFlow, PyTorch, Scikit-learn.
Responsibilities
Design and maintain scalable data pipelines and ETL/ELT workflows; implement automated data quality checks and validation frameworks; plan and deliver end-to-end data projects; develop KPI dashboards and reporting solutions; partner with finance teams to design viable data solutions; stay current on emerging data technologies and AI tools.
Seniority
Senior, hands-on IC with mentorship responsibilities
