Data Architecture And Engineering Mgr

Gerdau Ameristeel Corporation - Tampa, FL

Full-time - Mid Level

Tampa, FL

1,001-5,000 employees

Management of Companies and Enterprises

About the position

The Data Architecture and Engineering Manager is a key role within the data and analytics team, responsible for overseeing the design, implementation, and optimization of data architecture and engineering processes. This position requires collaboration with IT, Infrastructure, and Security teams to ensure alignment with company objectives and to support business needs through effective data management.

Responsibilities

• Lead a team of data engineers and contractors in the development and maintenance of data pipelines, ensuring timely and accurate delivery of data to support business needs.
• Serve as the owner of the single source of truth for the division, ensuring data accuracy, consistency, and integrity across all data sources.
• Orchestrate new requirements with our Analytical data layer, collaborating with business stakeholders to understand their needs and translating them into actionable data solutions.
• Design and implement data architecture solutions that primarily leverage Databricks, focusing on scalability, reliability, and performance.
• Collaborate with IT, Infrastructure, and Security teams to align data architecture solutions with company infrastructure and security requirements.
• Oversee the migration of analytics databases to Databricks, ensuring seamless transition and optimization of data workflows.
• Interact with multiple departments across the organization, serving as a strategic partner to support their data and analytics needs.
• Maintain regular communication and collaboration with headquarters in Brazil, participating in weekly meetings to ensure alignment and coordination of data initiatives.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred.
• 10-15 years of experience in data architecture, engineering, and management roles, preferably in a manufacturing environment.
• Strong proficiency in SAP, with experience working with SAP tables and Z tables.
• Expertise in Databricks for data processing and ELT processes.
• Familiarity with HANA for real-time data access and PostgreSQL for ETL processes.
• Excellent communication skills, both verbal and written, with the ability to collaborate effectively across departments and with international teams.
• Leadership experience, with the ability to manage a team of direct reports and contractors.

Nice-to-haves

• Proficiency in Portuguese is recommended due to regular interaction with headquarters in Brazil.