Remote Enterprise Data Architect: AI & Cloud Modernization

Kainos Innovative Solutions; Houston (TX); Remote; USD 150,000 - 230,000; Full time

Job summary

Kainos Innovative Solutions is seeking an experienced Enterprise Data Architect with AI to lead enterprise-wide data and AI architecture initiatives. You will design data platforms, governance, and cloud strategies while integrating AI/ML capabilities across Azure, AWS, or Google Cloud.

The role involves shaping modern data platforms, building data lakes and lakehouses, and aligning with security, privacy, and compliance requirements in a remote work setting.

Qualifications

• Strong experience in Enterprise Data Architecture and data modeling.
• Hands-on knowledge of data platforms, ETL/ELT, and data integration.
• Experience with cloud data services (Azure, AWS, or Google Cloud).
• Solid SQL, Python, Spark/PySpark skills and data engineering concepts.
• Experience with AI/ML and Generative AI architectures.

Responsibilities

• Design and implement enterprise data architecture strategies.
• Define data models, platforms, governance, and integration standards.
• Architect cloud-based data solutions across major cloud providers.
• Create architectures for data lakes, warehouses, and lakehouses.
• Integrate AI/ML and Generative AI into data platforms.
• Develop architectures using LLMs, RAG, vector databases, and AI APIs.
• Ensure data security, privacy, quality, governance and compliance.
• Produce architecture diagrams, HLDS, standards, and reference architectures.

Skills

Enterprise Data Architecture

Data Lake/Data Warehouse

Cloud data services (Azure/AWS/GCP)

SQL

Python

Spark/PySpark

AI/ML architectures

LLMs and Embeddings

Databricks/Snowflake/BigQuery

Data governance and security

Stakeholder management

Job description

Kainos Innovative Solutions is seeking an experienced Enterprise Data Architect with AI to lead enterprise-wide data and AI architecture initiatives. You will design data platforms, governance, and cloud strategies while integrating AI/ML capabilities across Azure, AWS, or Google Cloud.

The role involves shaping modern data platforms, building data lakes and lakehouses, and aligning with security, privacy, and compliance requirements in a remote work setting.