Data Intelligence Platform Lead

ITTCONNECT INC
Miami, FL, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Languages
Spanish, Portuguese
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Amazon S3 Data Analysis Cloud Engineering Cyber Security Continuous Integration Data Architecture Information Engineering Data Governance Data Infrastructure
+15 more
Data Security Data Warehousing Document-Oriented Databases Identity and Access Management Metadata Microsoft SQL Server Data Streaming Cloud Platform System Data Ingestion Delivery Pipeline Infrastructure Automation Frameworks AWS Data Analytics Data Management Data Pipelines Databricks

Job description

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., * 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.

About the company

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

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Apply on www.dice.com
Prepare application

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