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Data Platform Lead (Banking)

ITTConnect

Miami, Florida • Today

Full-time

Data Platform Lead

Navigant Consulting

Remote • Today

Full-time

USD 149,000.00 - 248,000.00 per year

Staff Software Engineer - One Data Platform Engineering

American Express

Sunrise, Florida • Today

Full-time

USD 144,250.00 - 256,250.00 per year

Staff Software Engineer, Data Platform

Built Technologies

Remote • Today

Full-time

USD 170,000.00 - 245,000.00 per year

Job Details

Skills

Finance
PySpark
Management
Lifecycle Management
IT Security
Information Security
Data Warehouse
Workflow
Data Domain
Dimensional Modeling
Data Flow
Inventory
Documentation
Production Support
Accountability
Risk Management
Artificial Intelligence
Use Cases
Collaboration
Business Data
Regulatory Compliance
Data Engineering
Analytics
Data Architecture
Microsoft SQL Server
Orchestration
Data Governance
Meta-data Management
Access Control
Migration
Databricks
Unity
Data Quality
Continuous Integration
Continuous Delivery
Cloud Computing
Amazon Web Services
Amazon S3
Network Security
Auditing
Banking
Financial Services
Fluency
Portuguese
Spanish

Finance
PySpark
Management
Lifecycle Management
IT Security
Information Security
Data Warehouse
Workflow
Data Domain
Dimensional Modeling
Data Flow
Inventory
Documentation
Production Support
Accountability
Risk Management
Artificial Intelligence
Use Cases
Collaboration
Business Data
Regulatory Compliance
Data Engineering
Analytics
Data Architecture
Microsoft SQL Server
Orchestration
Data Governance
Meta-data Management
Access Control
Migration
Databricks
Unity
Data Quality
Continuous Integration
Continuous Delivery
Cloud Computing
Amazon Web Services
Amazon S3
Network Security
Auditing
Banking
Financial Services
Fluency
Portuguese
Spanish

Summary

Job Description
ITTConnect is seeking a Data Intelligence Platform Lead for a direct-hire full time position with a client that is a large financial institution.

Position is hybrid in Miami.

Our client is at a strategic moment in our data platform transformation, migrating from an on premise environment to a modern cloud native stack based on AWS, Databricks, and PySpark. They are seeking a hands-on, business-oriented data platform leader to lead a 10 people team in order to manage the bank's end-to-end data intelligence platform.

The successful candidate will coordinate the modernization of the current on-premises data environment while leading the design and implementation of a governed cloud data platform on Databricks and AWS. This is a strategic role for a professional who can connect architecture, governance, delivery execution, data quality, security, and AI adoption into a coherent enterprise data capability.

Key Responsibilities:

Cloud Data Platform and Migration

Coordinate the structuring of the Databricks environment on AWS, including development pipelines, operational controls, governance parameters, data quality monitoring, alerting, and platform observability.
Define and align target-state solutions for ingestion, orchestration, processing, monitoring, security, and lifecycle management in the Databricks ecosystem.
Lead the migration of on-premises data pipelines to Databricks, ensuring they are rebuilt as reusable, scalable, governed, and well-documented data products.
Partner with technology, security, infrastructure, compliance, and business stakeholders to ensure the cloud platform meets banking-grade operational, regulatory, and information security expectations.

Data Products, Governance, and Quality

Coordinate the definition, documentation, and dissemination of the data product concept across the Data team and the broader bank.
Establish the required governance, ownership, metadata, lineage, access, quality, monitoring, and lifecycle dimensions for data products.
Review and strengthen governance practices in the current data warehouse environment, including data access workflows, pipeline development standards, orchestration processes, and data domain definitions.
Define and document data quality dimensions, implement automated quality tests, and build end-to-end monitoring and alerting for critical data flows.

On-Premises Platform Modernization

Coordinate DataSecOps practices to establish end-to-end monitoring and alerting across infrastructure, development environments, orchestration layers, and data pipelines.
Lead the inventory, technical assessment, rationalization, and recommendation process for SQL Server environments, including whether to migrate, retain, consolidate, modernize, or decommission each server.
Drive improvements in operational reliability, documentation, development standards, and production support for the current SQL Server, Airflow, and dbt environment.

AI Enablement and Governance

Coordinate the establishment of AI governance practices, including principles, controls, accountability, observability, and risk management considerations.
Identify, prioritize, and coordinate AI initiatives that generate measurable business value on top of both the current on-premises environment and the future cloud data platform.
Support experimentation and delivery of AI-based use cases in collaboration with business, data, technology, compliance, and risk stakeholders.

Requirements

15+ years of experience in IT.
Strong experience leading data platform, data engineering, analytics engineering, or data architecture initiatives in complex enterprise environments.
Practical understanding of Databricks, AWS data services, SQL Server, Airflow, dbt, data ingestion patterns, orchestration, monitoring, and platform operations.
Demonstrated ability to translate data governance, data quality, metadata, lineage, access control, and observability requirements into practical engineering standards.
Experience coordinating platform migrations or modernization initiatives from legacy or on-premises environments to cloud-based architectures.
Experience with Databricks Lakehouse architecture, Unity Catalog, data quality frameworks, CI/CD pipelines, and cloud-native monitoring practices.
Experience with AWS services commonly used in data platforms, such as S3, IAM, networking, security controls, monitoring, and infrastructure automation.
Familiarity with regulatory, security, and audit expectations in banking or financial services.
Highly desirable fluency in Portuguese and/or Spanish.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91021855
Position Id: cfca08da4c6648de54af02b96de85129
Posted 4 days ago

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