Data Warehouse Manager

ITTConnect; United States; Hybrid; USD 170,000 - 210,000; Full time

Job summary

ITTConnect is seeking a Data Intelligence Platform Lead for a direct-hire, full-time role with a major financial institution. The position is hybrid in Miami and guides a 10-person team through a cloud-native data platform transformation using Databricks and AWS.

You will drive governance, data quality, security, and observability, migrating on-prem pipelines to scalable data products while partnering with security, compliance and business stakeholders.

Qualifications

• 15+ years in IT required.
• Strong data platform leadership in complex enterprise environments.
• Hands-on with Databricks, AWS, SQL Server, Airflow, dbt.
• Ability to translate governance/quality/observability into engineering standards.
• Experience migrating on-prem to cloud-based architectures.

Responsibilities

• Lead a 10-person team to manage the end-to-end data intelligence platform.
• Oversee migration from on-prem to Databricks on AWS, with governance and security.
• Define target-state data ingestion, orchestration, processing, and monitoring.
• Collaborate with security, compliance, and business stakeholders to meet banking requirements.
• Coordinate AI governance and value-driven analytics initiatives.

Skills

IT Experience

Data platform leadership

Databricks

AWS data services

SQL Server

Airflow

dbt

Data governance

Quality monitoring

Stakeholder comms

Tools

Databricks

AWS

SQL Server

Airflow

dbt

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.
• 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.

Qualifications:

• 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.