Data Engineer Lead

VSE AVIATION INC (US); Florida; On-site; USD 130,000 - 190,000; Full time

Job summary

VSE Aviation Inc (US) is seeking a senior data platform engineer to own the enterprise data platform from architecture through governance and quality. The role focuses on building a scalable Data Lakehouse using Medallion architecture and modern ELT/ETL pipelines, with cloud-native tools such as Informatica and Azure Data Factory.

The candidate will design dimensional models, data products, and semantic layers for BI, with strong emphasis on data governance, security, and compliance.

Qualifications

• Bachelor’s degree in computer science, MIS, engineering, or related field, or 3 years of work experience in lieu.
• 7 years of enterprise data engineering experience.
• Strong SQL proficiency.
• Experience with Snowflake, Microsoft Fabric, and Databricks.
• Data governance, data systems architecture, and data modeling.
• CI/CD and Infrastructure-as-Code practices.
• Collaboration with business stakeholders for scalable data solutions.

Responsibilities

• Design, implement, and evolve the organization’s Data Lake / Data Lakehouse architecture.
• Build scalable Medallion Architecture (Bronze, Silver, Gold) for trusted data assets.
• Develop ingestion frameworks for structured, semi-structured, and streaming data sources.
• Create scalable ELT/ETL pipelines using Informatica and Azure Data Factory.
• Design dimensional models, curated data products, and semantic layers for BI and analytics.
• Implement data quality, lineage, cataloging, and metadata management.
• Optimize data storage, query performance, and workload management.
• Establish CI/CD pipelines and Infrastructure-as-Code practices for data engineering solutions.
• Collaborate with business stakeholders and application teams to understand data requirements and deliver scalable solutions.
• Define and enforce enterprise data engineering standards with technical and business partners.
• Work with security and governance teams to implement role-based security, data privacy, and compliance controls.
• Travel within the US and internationally may be required 10-25%.
• Ability to work from a VSE office at least four days per week (onsite Miramar, FL).

Skills

SQL

Data governance

Data modeling

ETL/ELT pipelines

Cloud data engineering

Stakeholder collaboration

Education

Bachelor’s degree in CS or related

3 years of work experience in lieu of degree

Tools

Snowflake

Databricks

Informatica

Azure Data Factory

MS SQL Server

Oracle

Power BI

Microsoft Purview

Azure DevOps

GitHub Actions

Kafka

Event Hubs

REST APIs

CI/CD

Infrastructure-as-Code

Job description

Own the next-generation enterprise data platform, from architecture through pipelines, governance, and data quality.

Responsibilities

• Design, implement, and evolve the organization’s enterprise Data Lake / Data Lakehouse architecture.
• Build and maintain a scalable Medallion Architecture (Bronze, Silver, Gold) for trusted, reusable data assets.
• Develop ingestion frameworks for structured, semi-structured, and streaming data sources.
• Create scalable ELT/ETL pipelines using cloud-native technologies and orchestration tools including Informatica and Azure Data Factory.
• Design dimensional models, curated data products, and semantic layers to support business intelligence and advanced analytics.
• Implement data quality, lineage, cataloging, and metadata management best practices.
• Optimize data storage, query performance, and workload management.
• Establish CI/CD pipelines and Infrastructure-as-Code practices for data engineering solutions.
• Collaborate with business stakeholders and application teams to understand data requirements and deliver scalable solutions.
• Define and help enforce enterprise data engineering standards with technical and business partners.
• Work with security and governance teams to implement role-based security, data privacy, and compliance controls.

Requirements

• Bachelor’s degree in computer science, MIS, engineering, or a related field.
• Or an additional 3 years of specific work experience in lieu of degree.
• 7 years of significant experience in an enterprise data engineering role.
• Strong professional proficiency in SQL.
• Proven technical experience with one or more: Snowflake, Microsoft Fabric, Databricks.
• Data Governance, Data Systems Architecture, and Data Modeling experience.

Technologies

• Snowflake, Microsoft Fabric, Databricks
• Informatica, Azure Data Factory
• SQL, MSFT SQL Server, Oracle
• Microsoft Azure
• Power BI
• Microsoft Purview
• Azure DevOps, GitHub Actions
• Kafka, Event Hubs
• REST APIs
• CI/CD, Infrastructure-as-Code

Preferred Requirements

• Informatica and Azure Data Factory
• MSFT SQL Server and Oracle
• Microsoft Azure
• Power BI
• Golden Gate / Change Data Capture / Data Streaming
• Aviation/Aerospace ERP
• Structured, semi-structured, and unstructured data warehousing
• Microsoft Purview
• Azure DevOps or GitHub Actions
• Kafka or Event Hubs
• REST APIs and modern data integration techniques

Other

• Background check and drug testing required.
• Travel within the US and internationally may be required 10-25% of the time.
• Ability to work from a VSE office at least four days per week (onsite location: Miramar, FL).