We are seeking a Assistant Manager - Data Engineer with 7+ years of GCP Data Engineer to design and build scalable semantic data layers from unstructured and multi-modal content such as PDFs, PowerPoint presentations, and embedded images. The role focuses on developing robust data ingestion pipelines, semantic modeling, vector-based search capabilities, and enterprise data solutions on Google Cloud Platform. Exposure to Agentic AI frameworks and orchestration is desirable but secondary.
Design and develop data pipelines to ingest, process, and transform unstructured data from PDFs, PPTs, and images.
Utilize GCP services such as Document AI, Cloud Storage, BigQuery, and Vertex AI for document and image data extraction.
Generate and manage embeddings for semantic search and retrieval using Vertex AI and BigQuery Vector Search.
Build and maintain semantic data models that combine structured business data with unstructured content insights.
Develop and optimize BigQuery-based data warehouses and semantic layers for analytics and reporting.
Orchestrate end-to-end workflows using Cloud Composer (Airflow) or GCP Workflows.
Collaborate with business and technical teams to define semantic data structures and metadata standards.
Support integration of semantic data platforms with Agentic AI and enterprise AI applications.
Google Cloud Platform (GCP): BigQuery, Cloud Storage, Document AI, Vertex AI.
Strong SQL and data modeling expertise.
Experience with unstructured document processing and multi-modal data pipelines.
Vector databases, embeddings, and semantic search implementation.
Workflow orchestration using Airflow/Cloud Composer.
Knowledge of Looker, dbt, or semantic layer frameworks.
Familiarity with Agentic AI, LangChain, Genkit, or Vertex AI Agent Builder (preferred).
- Opportunity to work on large-scale modern data engineering initiatives.
- Exposure to enterprise cloud data platforms, and data governance.
- Opportunity to design and deliver scalable data platforms that support critical business use cases.
- Collaborative environment with opportunities to work closely with data, technology, architecture, and business teams.
- Culture that encourages innovation, continuous learning, technical excellence, and ownership.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. 