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Lead Google Cloud Platform Data & AI Engineer / Solutions Architect

S&K GLOBAL SOLUTIONS LLC
Reston, VA, United States
4 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Artificial Intelligence Airflow BigQuery Cloud Computing Cloud Database Databases Distributed Data Store Data Flow Control Global Positioning Systems (GPS) Identity and Access Management Python (Programming Language) PostgreSQL
+13 more
Machine Learning Oracle (Applications) Performance Tuning Tensorflow Cloudera Google Cloud Pytorch Large Language Models Apache Spark Pyspark Machine Learning Operations Serverless Computing Apache Beam

Job description

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

Requirements

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.
  1. Applied AI & MLOps:
  • Experience developing, deploying, and operationalizing ML models & LLM pipelines (Python, PyTorch, TensorFlow, MLOps tooling).
  1. 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.

  1. Preferred Credentials:
  • Google Cloud Platform Professional Certifications (Data Engineer, ML Engineer, Cloud Architect, Database Engineer).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:19 min

Introduction to Apache Airflow for advanced orchestration

Alan Mazankiewicz · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:11 min

Deploying and running Airflow in cloud environments

Alan Mazankiewicz · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

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39:14
LIVE • almost 5 years ago

Fully Orchestrating Databricks from Airflow

Alan Mazankiewicz

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43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

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Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding) thumbnail
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World Congress 2026 Europe • 3 months ago

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)

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The Cloud is Calling: Answer with In-Demand Skills thumbnail
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World Congress 2024 • about 2 years ago

The Cloud is Calling: Answer with In-Demand Skills

Asrar

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Data Science in Retail

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World Congress 2026 Europe • 3 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

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