Staff Data Engineer
Core
Design, implement, and support enterprise data architecture and processes for Investor & Treasury Services, enabling self-service analytics at scale.
Role type
Staff Data Engineer (Lead)
Builds
Real-time data pipelines, cloud-based data platforms, and optimized Power BI reporting infrastructure.
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure Databricks, Python, Kafka, MS SQL Server, Elasticsearch, Node.js, Power BI, DAX, Delta Lake, Spark optimization, LDAP, Kerberos, OAuth 2.0, Vault integration
Preferred skills
Jenkins, Selenium, GIT, Agile/SaFe methodology, Advanced Power BI certifications
Technologies
Azure Databricks, Azure ADLS2, OpenShift, Docker, Apigee, Microsoft SQL Server, Azure SQL
Responsibilities
Build real-time data pipelines via container-based solutions; manage Azure Databricks clusters and compute resources; optimize Power BI semantic models and dashboard performance; establish workspace governance and user access management; evaluate and remediate data access control strategies; collaborate with data scientists on consolidated data pipelines.
Seniority
Staff, strategic leadership & hands-on engineering