Lead Cloud Data & AI Engineer / Solutions Architect (Google Cloud Platform)

Role Title: Lead Cloud Data & AI Engineer / Solutions Architect (Google Cloud Platform)

Location - Reston, VA (Onsite)

We are currently seeking Senior Cloud Data & AI Engineers to support customer engagements within our Google Public Sector (GPS) Professional Services team.

Key Technical Profile & Sourcing Criteria

1. Cloud Data & Lake House Architecture:

• Expert-level Google Cloud Platform Data Stack: BigQuery (Dremel, IAM, architecture), Dataflow (Apache Beam), Dataproc (Serverless Spark / PySpark), Cloud Composer (Airflow), Pub/Sub, and dbt.
• 10+ years in relational/distributed databases (PostgreSQL, AlloyDB, Oracle, CloudSQL) with performance tuning, replication, and migration experience.

2. Applied AI & MLOps:

• Experience developing, deploying, and operationalizing ML models & LLM pipelines (Python, PyTorch, TensorFlow, MLOps tooling).

3. Public Sector / Security Standards:

• Familiarity with US Public Sector data compliance (e.g., DoD IL5/IL6 environments).
• Excellent stakeholder-facing advisory, architecture consulting, and workshop delivery skills.

4. Preferred Credentials:

• Google Cloud Platform Professional Certifications (Data Engineer, ML Engineer, Cloud Architect, Database Engineer).