Sr. Data Engineering Lead, Onsite, VP
Core
Lead the design, development, and optimization of large-scale data pipelines and systems for acquiring, storing, transforming, and analyzing data to support business needs.
Role type
Senior Data Engineering Lead (Hands-on IC)
Builds
Centralized Azure data lakes, Databricks Delta Lake, and cloud-based data applications
Domain
Financial services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure Databricks, Azure Synapse Analytics, Azure Data Factory, SQL, Scala, Java, Data Modeling, ETL/ELT, Cloud Infrastructure (Azure), Snowflake, Kubernetes, Docker, Git
Preferred skills
Azure certifications, Snowflake experience, Financial industry experience
Technologies
Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, Snowflake, SQL Server, Oracle, Kubernetes, Docker, Azure DevOps
Responsibilities
Design and maintain data pipelines for ingesting and transforming data into Azure data lakes; Implement efficient ELT/ETL processes and data quality controls; Optimize data models, database schemas, and infrastructure for performance and scalability; Collaborate with cross-functional teams to translate data requirements into technical solutions; Monitor pipelines, troubleshoot issues, and ensure data security and compliance; Manage multiple database instances and servers; Document data engineering processes and system configurations.
Seniority
Senior, hands-on IC
