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Data Architect

OVS Technologies, Inc.
Palo Alto, CA, United States
6 days ago
Apply on www.dice.com
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Role details

Contract type
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

Training Data Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Data Architecture Data Cleansing Data Discovery Information Engineering Data Governance Data Integration Extract Transform Load (ETL)
+18 more
Data Systems Data Warehousing Software Design Documents Python (Programming Language) Meta-Data Management Operational Databases SQL Databases Data Streaming Enterprise Data Management Google Cloud Retrieval-Augmented Generation Snowflake Apache Spark Agentic-AI Apache Kafka Data Management Semantic Modeling Databricks

Job description

  • Design and deliver scalable enterprise data platforms, pipelines, and data models.
  • Build AI-ready data architectures supporting RAG and Agentic AI workflows.
  • Design document ingestion, metadata management, chunking, embeddings, and vector indexing solutions.
  • Architect ETL/ELT, batch, streaming, and CDC-based data integration frameworks.
  • Establish data quality, governance, lineage, security, and access control standards.
  • Lead data discovery workshops and translate business requirements into practical data solutions.
  • Troubleshoot production data issues and provide hands-on guidance to engineering teams.
  • Mentor data engineers on modeling, governance, and AI data preparation best practices.

Requirements

  • 10+ years of Data Architecture/Data Engineering experience.
  • Strong hands-on expertise in SQL and Python.
  • Experience with conceptual, logical, and physical data modeling.
  • Strong knowledge of Data Warehousing, Lakehouse architectures, and semantic modeling.
  • Experience with ETL/ELT, Streaming, and CDC pipelines.
  • Hands-on experience with RAG, Vector Databases, Embeddings, and AI data platforms.
  • Knowledge of data governance, lineage, metadata management, and data quality frameworks.
  • Excellent communication and stakeholder management skills.

<>Preferred Skills

  • Experience with AWS, Azure, or Google Cloud Platform.
  • Exposure to Databricks, Snowflake, Kafka, Spark, or Airflow.
  • Experience supporting GenAI and enterprise AI initiatives.

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Apply on www.dice.com
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