Cloud Data Platform Lead - Databricks/AWS | Bank-Grade Data

ITTConnect; United States; Hybrid; USD 170,000 - 230,000; Full time

Job summary

ITTConnect seeks a Data Intelligence Platform Lead for a direct-hire, full-time role with a major financial institution. The position is hybrid in Miami and focuses on modernizing an on-prem data stack to a cloud-native Databricks/AWS platform while leading a 10-person team.

The ideal candidate blends hands-on engineering with business vision, aligning governance, quality, security, and AI initiatives to deliver scalable data products and governed pipelines across the enterprise.

Qualifications

• 15+ years of IT experience in enterprise environments.
• Strong leadership of data platform, data engineering, or data architecture initiatives.
• Hands-on experience with Databricks, AWS data services, SQL Server, Airflow, and dbt.
• Ability to translate governance, metadata, lineage, and observability into engineering standards.
• Experience migrating on-premises environments to cloud-based architectures, banking/regulatory familiarity.

Responsibilities

• Coordinate Databricks on AWS, pipelines, governance, data quality monitoring, and platform observability.
• Define target-state ingestion, orchestration, processing, monitoring, security, and lifecycle management.
• Lead migration of on-prem data pipelines to Databricks as scalable, governed data products.
• Partner with security, infrastructure, compliance, and business stakeholders to meet banking-grade requirements.
• Lead DataSecOps and end-to-end monitoring across infra and data pipelines.
• Drive modernization of SQL Server environments and related tooling (Airflow, dbt).

Skills

Data platform leadership

Databricks

AWS data services

SQL Server

Airflow

dbt

Data governance

Data quality

Platform operations

Cloud migration

Stakeholder coordination

Tools

Databricks

AWS

SQL Server

Airflow

dbt

Job description

ITTConnect seeks a Data Intelligence Platform Lead for a direct-hire, full-time role with a major financial institution. The position is hybrid in Miami and focuses on modernizing an on-prem data stack to a cloud-native Databricks/AWS platform while leading a 10-person team.

The ideal candidate blends hands-on engineering with business vision, aligning governance, quality, security, and AI initiatives to deliver scalable data products and governed pipelines across the enterprise.