Senior Data Engineer / Google Cloud Platform AI Architect

Overview

On Site
$120,000 - $140,000
Full Time

Skills

API
Artificial Intelligence
Cloud Computing
Cloud Storage
Collaboration
Computer Networking
Cost Control
Data Engineering
Data Flow
Data Governance
DevOps
Docker
Good Clinical Practice
Google Cloud Platform
JSON
Kubernetes
Legal
Lifecycle Management
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Mentorship
Messaging
PyTorch
Python
Real-time
SAP PI
Semantic Search
TensorFlow
Terraform
Unstructured Data
Vector Databases
Vertex
Virtual Private Cloud
Workflow
scikit-learn

Job Details

Key Responsibilities

  • Architect and deploy batch and real-time data pipelines using Google Cloud Platform (Pub/Sub, Dataflow, BigQuery, Cloud Functions, DataStream).

  • Design secure, scalable serverless data platforms for structured & unstructured data.

  • Build AI/ML workflows using Vertex AI, BigQuery ML, and modern MLOps practices.

  • Develop Infrastructure-as-Code using Terraform or Deployment Manager.

  • Manage Google Cloud Platform environments including IAM, VPC networking, cost control, and hybrid connectivity.

  • Integrate semantic search frameworks with vector databases (FAISS, Pinecone, Vertex Vector Search).

  • Implement RAG pipelines to improve LLM performance.

  • Collaborate across engineering, security, legal, and business stakeholders as senior technical advisor.

  • Mentor junior engineers, ensuring best practices in data governance, observability, and AI infra.

Required Qualifications

  • 15+ years in data engineering, architecture, or AI/ML development.

  • Advanced Python programming with ML libraries (TensorFlow, PyTorch, scikit-learn).

  • Hands-on expertise with Google Cloud Platform services (Vertex AI, BigQuery, Cloud Storage).

  • Strong experience with APIs, JSON messaging, IaC, Docker, Kubernetes, networking.

  • Experience with MLOps pipelines, DevOps workflows, model lifecycle management.

  • SAP integration & Apigee API Gateway knowledge is a plus.

  • Bachelor s in CS/Engineering (Master s preferred).

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