Senior Databricks Full Stack Consultant #3595641

Join a specialized technology team supporting enterprise banking data platforms, with a focus on scalable data architecture, governance, regulatory controls, and application modernization. This environment is built for experienced consultants who can operate across data engineering, application development, DevOps, and enterprise workflow delivery. The team is driving a critical data management initiative involving Databricks, ServiceNow integration, governance workflows, and regulated platform delivery.

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Jersey City, New Jersey, supporting a long-term enterprise banking initiative. The role offers the chance to contribute to high-visibility data platforms involving Databricks Lakehouse architecture, governance integration, workflow orchestration, and secure application deployment in a regulated financial services environment.

• Design, build, and support Databricks Lakehouse and Lakebase platforms using Medallion Architecture and Unity Catalog.
• Develop scalable batch and streaming data pipelines within Azure Databricks.
• Build and deploy Databricks Apps with Python-based backend services.
• Create enterprise-grade full stack applications using Python, Django, Flask, and Streamlit.
• Deploy Python applications and services through Kubernetes and Azure Functions.
• Develop Streamlit-based user interfaces that support internal enterprise workflows.
• Implement BPMN-based workflow orchestration within Django applications.
• Integrate data platforms with Collibra for governance, lineage, certification, and compliance visibility.
• Support security, auditability, and regulatory control requirements across enterprise data platforms.

• 15+ years of professional technology experience, with strong depth in enterprise application and data platform delivery.
• Mandatory banking or financial services background.
• Prior experience supporting Risk, Finance, Compliance, Regulatory Reporting, or other controlled enterprise data platforms.
• Advanced Python development experience.
• Strong hands-on Databricks experience, including Databricks Apps, Databricks Jobs, Delta Lake, Lakehouse architecture, Lakebase concepts, and performance tuning.
• Experience designing Medallion Architecture across Bronze, Silver, and Gold layers.
• Strong backend development experience with Django and Flask.
• Streamlit experience for internal workflow or data application UI development.
• Kubernetes experience deploying Python services or applications.
• Azure Databricks, Azure Functions, Azure identity, and access control integration experience.
• GitHub CI/CD experience for Databricks and application workloads.
• BPMN workflow design and execution experience, ideally within Django-based applications.
• Collibra experience for governance, lineage, certification, or data catalog integration.
• Strong understanding of audit, regulatory, and enterprise security requirements in banking environments.
• Mandatory certifications: Databricks Certification, Azure Certification, and Collibra Certification.