Data Engineer Lead

VSE AVIATION INC (US); Phoenix (AZ); On-site; USD 140,000 - 200,000; Full time

Job summary

VSE Aviation Inc. is seeking an Enterprise Data Engineer Lead to design and evolve a cloud-based Data Lake / Lakehouse platform, enabling analytics-ready data.

You will develop a Medallion Architecture with Bronze/Silver/Gold data assets and build robust ingestion pipelines for structured, semi-structured, and streaming data. The role requires 7+ years in enterprise data engineering, strong SQL, and hands-on experience with Snowflake, Databricks, and Microsoft Fabric.

Qualifications

• Bachelor’s degree in computer science, MIS, engineering, or related field.
• Or 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 Snowflake, Microsoft Fabric, Databricks.
• Experience in Data Governance, Data Systems Architecture, and Data Modeling.

Responsibilities

• Design, implement, and evolve the enterprise Data Lake / Lakehouse architecture.
• Develop a Medallion Architecture with Bronze/Silver/Gold data assets.
• Create ingestion frameworks for structured, semi-structured, and streaming data.
• Build scalable ELT/ETL pipelines using cloud-native tools like Informatica and Azure Data Factory.
• Design dimensional models and data products for BI and analytics.
• Implement data quality, lineage, cataloging, and metadata management.
• Set up CI/CD pipelines and Infrastructure-as-Code for data engineering solutions.
• Collaborate with stakeholders to define data requirements and enforce standards.

Skills

SQL

Data governance

Data modeling

Data architecture

ETL/ELT design

Cloud data platforms

Education

Bachelor’s degree in computer science, MIS, engineering, or related field

Tools

Snowflake

Microsoft Fabric

Databricks

Informatica

Azure Data Factory

Power BI

Azure DevOps

GitHub Actions

Job description

Enterprise Data Engineer Lead role focused on delivering a next-generation cloud Data Lake and Lakehouse platform for trusted, analytics-ready data.

• Design, implement, and evolve the organization’s enterprise Data Lake / Lakehouse architecture
• Develop and scale a Medallion Architecture using Bronze / Silver / Gold patterns for reusable data assets
• Create ingestion frameworks for structured, semi-structured, and streaming data sources
• Build scalable ELT/ETL pipelines with cloud-native technologies and orchestration tools such as Informatica and Azure Data Factory
• Design dimensional models, curated data products, and semantic layers for BI and advanced analytics
• Implement data quality, lineage, cataloging, and metadata management best practices
• Optimize data storage, query performance, and workload management
• Set up CI/CD pipelines and apply Infrastructure-as-Code practices for data engineering solutions
• Partner with business stakeholders and application teams to define data requirements and deliver scalable solutions
• Define and help enforce enterprise data engineering standards with technical and business partners
• Collaborate 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 related field
• Or 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
• Experience in Data Governance, Data Systems Architecture, and Data Modeling

Technologies

• Snowflake, Microsoft Fabric, Databricks
• SQL
• Informatica, Azure Data Factory
• Power BI
• Microsoft Purview
• Azure DevOps, GitHub Actions
• Kafka, Event Hubs
• REST APIs
• Microsoft Azure, MSFT SQL Server, Oracle
• CI/CD, Infrastructure-as-Code
• Golden Gate / Change Data Capture / Data Streaming
• Medallion Architecture (Bronze/Silver/Gold)

Preferred

• Informatica, Azure Data Factory
• MSFT SQL Server, 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

Additional Information

• Background check and drug testing required for the selected applicant
• Travel within the US and internationally may be required (10-25% of time)
• Must be able to work from a VSE office a minimum of four days per week

Location: Phoenix, AZ (onsite)

Minimum Experience: 7 years