Cloud Data and AI Engineers
Varmoda · Reston, VA
All reasons
In its favour
- Still listed on the employer's own board
Varmoda is seeking a Lead Cloud Data & AI Engineer / Solutions Architect (GCP) to design and deliver scalable cloud data, AI/ML, and lakehouse solutions on GCP. The role requires strong customer-facing architecture experience, deep GCP data expertise, and familiarity with U.S. Public Sector security environments.
Key Responsibilities
- Architect GCP data and lakehouse solutions using BigQuery, Dataflow, Dataproc, Composer, Pub/Sub, and dbt.
- Design and optimize relational and distributed database solutions.
- Develop and operationalize ML models and LLM pipelines using Python, PyTorch, TensorFlow, and MLOps tools.
- Lead customer architecture discussions, workshops, and cloud implementation engagements.
- Support secure Public Sector solutions, including DoD IL5/IL6 environments.
Required Qualifications
- 10+ years of experience with relational/distributed databases such as PostgreSQL, AlloyDB, Oracle, and Cloud SQL.
- Strong expertise across the GCP data ecosystem.
- Experience with database performance tuning, replication, and migrations.
- Experience developing and deploying AI/ML and LLM solutions.
- Strong B2B/customer-facing cloud architecture and advisory experience.
- U.S. Citizenship required.
- Ability to support on-site/customer deployments in Reston, VA as needed.
Preferred Qualifications
- Active TS/SCI with Polygraph strongly preferred.
- GCP Professional certifications in Data Engineering, ML Engineering, Cloud Architecture, or Database Engineering.
- Public Sector cloud implementation experience.
- Familiarity with DoD IL5/IL6 requirements.
Certifications & Clearance
- U.S. Citizenship: Required
- TS/SCI + Polygraph: Strongly preferred, not mandatory
- GCP Professional Certifications: Preferred
Skills
- GCP
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- dbt
- Machine Learning
- LLM
- Python
- PyTorch
- TensorFlow
- MLOps
- PostgreSQL
- Oracle Database
- Cloud SQL
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