Databricks Lakehouse Architect — Lead Data Platform & AI

LatentView Analytics; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

LatentView Analytics is seeking a Databricks Platform Architect to design and implement scalable Lakehouse architectures across cloud environments. You will define standards for ingestion, governance, security, and performance, and lead migration and modernization initiatives using Databricks on Azure.

You will provide technical leadership for AI/ML and Enterprise AI projects, mentor teams, and ensure delivery aligns with enterprise architecture standards.

Qualifications

• Design and implement enterprise-scale Databricks Lakehouse architectures and platform capabilities.
• Define architecture standards for data ingestion, transformation, governance, security, and performance.
• Lead cloud migration and data modernization initiatives leveraging Databricks on Azure.

Responsibilities

• Design and implement enterprise-scale Databricks Lakehouse architectures and platform capabilities.
• Define architecture standards for data ingestion, transformation, governance, security, and performance optimization.
• Lead cloud migration and data modernization initiatives leveraging Databricks on Azure.
• Enable AI/ML, MLOps, and Enterprise AI solutions using Databricks native services and best practices.
• Mentor engineering teams, perform architecture reviews, and collaborate with stakeholders to ensure successful project delivery.
• Lead and coordinate offshore delivery teams, ensuring effective collaboration, timely execution, and adherence to project quality, schedule, and architectural standards.

Skills

Databricks Lakehouse

Lakehouse Architecture

Data Engineering

MLOps

Enterprise AI

Unity Catalog

Delta Lake

Multi-Cloud (Azure AWS GCP)

Job description

LatentView Analytics is seeking a Databricks Platform Architect to design and implement scalable Lakehouse architectures across cloud environments. You will define standards for ingestion, governance, security, and performance, and lead migration and modernization initiatives using Databricks on Azure.

You will provide technical leadership for AI/ML and Enterprise AI projects, mentor teams, and ensure delivery aligns with enterprise architecture standards.