Data Engineering Lead: Cloud Lakehouse & ELT Architect

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

Benefits offered by this job

Background check

Drug testing

Travel 10-25%

Four days onsite per week

Job summary

VSE AVIATION INC (US) in Augusta, KS, seeks an experienced Enterprise Data Engineer Lead to design, build, and operate a next‑generation cloud data lake and lakehouse on site. You will shape the Medallion Architecture and develop pipelines for structured, semi‑structured, and streaming data, collaborating with security, governance, and BI teams.

Ideal candidates have 7+ years in enterprise data engineering, strong SQL, and hands‑on experience with Snowflake, Databricks, Informatica, and Azure

Qualifications

• 7+ years of significant enterprise data engineering experience.
• Strong proficiency in SQL.
• Experience with Snowflake, Microsoft Fabric, and Databricks.
• Data governance, data systems architecture, and data modeling familiarity.

Responsibilities

• Design, implement, and evolve Data Lake / Data Lakehouse architecture.
• Develop scalable ETL/ELT pipelines using cloud-native tools.
• Build Medallion Architecture (Bronze/Silver/Gold) data assets.
• Create data products and semantic layers for BI and analytics.
• Establish data quality, lineage, cataloging, and metadata practices.
• Implement CI/CD and Infrastructure-as-Code for data solutions.
• Collaborate with stakeholders to define data requirements and governance.

Skills

SQL

Snowflake

Databricks

Informatica

Azure Data Factory

Power BI

Medallion Architecture

CI/CD

Infrastructure-as-Code

REST APIs

Kafka

Event Hubs

Data Governance

Data Modeling

Azure

GitHub Actions

Education

Bachelor’s degree

Additional 3 years of work experience in lieu of degree

Tools

Microsoft Fabric

Databricks

Job description

VSE AVIATION INC (US) in Augusta, KS, seeks an experienced Enterprise Data Engineer Lead to design, build, and operate a next‑generation cloud data lake and lakehouse on site. You will shape the Medallion Architecture and develop pipelines for structured, semi‑structured, and streaming data, collaborating with security, governance, and BI teams.

Ideal candidates have 7+ years in enterprise data engineering, strong SQL, and hands‑on experience with Snowflake, Databricks, Informatica, and Azure