Position Details
About this role
This role involves working as a Big Data Solutions Architect supporting government clients with their data challenges using the Databricks platform. The focus is on designing architectures, implementing data projects, and providing technical consulting.
Key Responsibilities
- Designing reference architectures
- Customer consulting on big data projects
- Implementing cloud-based data solutions
- Supporting data engineering projects
- Collaborating with engineering and support teams
Technical Overview
The technical environment includes Databricks, Apache Spark, cloud platforms (AWS, Azure, GCP), and data engineering tools. The candidate will work on distributed computing, MLOps, and scalable data architecture deployment.
Ideal Candidate
The ideal candidate is a senior data engineer with over 6 years of experience in big data solutions, proficient in Python or Scala, and experienced with cloud platforms like AWS, Azure, or GCP. They should have a strong background in distributed computing and data architecture design, with excellent customer-facing skills.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
U.S. Citizenship not confirmed, Less than 6 years of relevant experience, Lack of experience with Apache Spark or cloud ecosystems
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile