Data Architect

Highbrow LLC; Frisco (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Highbrow LLC is looking for an experienced Data Architect based in Frisco, TX. The role involves designing and implementing data pipelines, ensuring best practices in data integration, and mentoring less experienced engineers.

Successful candidates will have a Master's degree in Computer Science, 7+ years of experience in data engineering, and expertise in Snowflake and Azure. The role offers flexibility with a hybrid work schedule and involvement in cutting-edge GenAI advancements.

Qualifications

• 7+ years of experience in data engineering.
• Expertise in designing and architecting production-ready data pipelines.
• Strong knowledge of Cloud services and NoSQL databases.

Responsibilities

• Design and develop end-to-end data pipelines, from ingestion to deployment.
• Lead architecture of complex frameworks and ensure best practices.
• Mentor junior data engineers in development best practices.

Skills

Data Architect

Snowflake

Databricks

Azure

DB Architecture

Python

Deep Learning Frameworks

Education

Master’s in Computer Science or a related field

Tools

Docker

Kubernetes

Job description

Data Architect

Location – Frisco TX (3-4 days week)

Key Skills – Snowflake, Databricks, Azure, DB Architecture

Required Qualifications:

• Master’s in Computer Science or a related field.
• 7+ years of experience in data engineering
• Expertise in Azure. Plus if expereinced in AWS as well.
• Expertise in designing and architecting production-ready enterprise grade data pipelines.
• Strong knowledge of Cloud services, NoSQL, Document DBs, including design, implementation, and optimization. (e.g. AWS open search or GCP Vertex AI, neo4j etc. Mongo, Dynamo, CosmosDB etc.)
• Expertise in designing, loading, and querying NoSQL.
• Extensive experience in processing and leveraging unstructured data for data applications.
• Strong programming skills in Python and knowledge of deep learning frameworks such as PyTorch or TensorFlow.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Excellent communication skills and ability to explain complex technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience designing multi cloud hybrid solutions.
• Experience in building/designing autonomous AI agents
• Knowledge of natural language processing (NLP) technologies.
• Experience working with Snowflake data warehouse, particularly in AI/ML contexts.
• Familiarity with the telecom industry and its specific data challenges and use cases is a big plus.

Key Responsibilities:

• Hands on experience designing and developing end-to-end data pipelines, from data ingestion to pipeline deployment and monitoring.
• Lead the architecture and implementation of complex agentic frameworks, ensuring best practices in software engineering and data integrations.
• Collaborate with cross-functional teams (Technology, Business, Platform etc.) to integrate data solutions into existing data products and services.
• Stay at the forefront of GenAI advancements and incorporate new technologies and methodologies into our systems.
• Mentor and guide junior data engineers and architects in best practices for development.
• Design and implement optimized RAG architectures and pipelines.
• Design and implement strategies for handling unstructured data in pipelines.
• Integrate data pipelines with Snowflake data warehouse for efficient data processing and storage.
• Build POCs to compare evaluate various emerging technologies around data and AI
• Create prototypes to establish patterns.