Data Architect

Data Architect

Client: Uniphore
Location: Palo Alto, CA (Hybrid)

<>Key Responsibilities

• 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.

<>Required Skills

• 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.