Lead Enterprise Data Engineer

Coastal Waste & Recycling Inc. is seeking a Lead Enterprise Data Engineer in Boca Raton, FL (onsite) to guide the design, development, and reliability of its enterprise data platform during a period of growth. This role provides hands-on technical leadership for scalable, governed data solutions used for reporting, analytics, operational decision-making, integrations, and future AI initiatives.

Responsibilities

• Act as a technical leader across enterprise data engineering initiatives.
• Design, develop, and optimize data pipelines, ingestion frameworks, transformations, and orchestration workflows.
• Administer and optimize Snowflake environments, including databases, schemas, warehouses, roles, grants, performance, and cost management.
• Develop and maintain Azure Data Factory pipelines, triggers, integration runtimes, and data movement processes.
• Implement monitoring, alerting, retry, and failure-recovery processes for critical data pipelines.
• Build and maintain data quality controls, including source-to-target validation, reconciliation, exception handling, and supporting documentation.
• Support integrations with enterprise applications, third-party systems, APIs, cloud services, and approved data-sharing solutions.
• Follow established change management, release, and CI/CD processes for production pipelines, database objects, integrations, and platform changes.
• Partner with Enterprise Data Operations, Enterprise Analytics, Operations, Finance, Sales, People Experience, and IT to translate business and technical requirements into scalable data solutions.
• Identify opportunities to improve data engineering processes using automation, reusable frameworks, standardization, and improved monitoring.
• Support reliability and performance of production data platforms, troubleshooting technical issues as needed.
• Maintain technical documentation for data pipelines, integrations, architecture, and production support processes.
• Support data needs tied to acquisitions, system integrations, new markets, and other business growth initiatives.
• Provide technical direction, mentoring, and quality review for data engineers, analysts, contractors, and implementation partners.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field, or equivalent professional experience.
• 7+ years of experience in data engineering, data integration, ETL/ELT development, data warehousing, or cloud data platform engineering.
• 2+ years of experience in a technical lead, senior engineer, solution architect, platform owner, or similar role on enterprise data projects.
• Strong experience with Snowflake administration and SQL development.
• Strong experience with Azure Data Factory or comparable enterprise data integration tools.
• Experience with cloud data architecture, API and third-party integrations, Git-based source control, and CI/CD practices.
• Experience supporting production data platforms with monitoring, data quality, access controls, and change management practices.
• Strong troubleshooting, documentation, communication, and collaboration skills.
• Ability to explain technical concepts clearly to both technical and business stakeholders.

Technologies

• Snowflake, SQL
• Azure Data Factory
• APIs, Git-based source control, CI/CD
• Azure DevOps
• dbt
• Microsoft Fabric, Databricks
• MDM, data governance
• Lakehouse architectures, AI/ML

Preferred Experience

• Master’s degree in Computer Science, Information Systems, Data Engineering, Business Administration, or a related field.
• Microsoft Azure or Snowflake SnowPro certification.
• Experience with Python, Azure DevOps, dbt or similar transformation frameworks, Microsoft Fabric, Databricks, MDM, data governance, lakehouse architectures, or AI/ML data pipelines.
• Experience supporting a multi-location or operationally complex organization.
• Experience supporting high-growth organizations, acquisitions, or system integrations.
• Bilingual English/Spanish preferred.

Work Environment

This is a full-time, in-person position based in Boca Raton, Florida.