Senior Databricks Lakehouse Architect | AI & Data Platforms

Marlabs Inc.; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Marlabs Inc. is seeking a Databricks Resident Solution Architect to design, guide, and operationalize cloud data platforms built on Databricks Lakehouse. You will translate business goals into secure, scalable designs and lead teams through platform adoption in regulated environments.

The role emphasizes hands-on leadership across data engineering, analytics, and AI workloads, with responsibilities for governance, security, and cost efficiency within enterprise-scale solutions.

Qualifications

• 10+ years of experience in data engineering, data architecture, or analytics engineering.
• 5+ years of hands-on Databricks experience including Delta Lake, Unity Catalog, and Lakehouse architecture.
• Databricks Professional Certification is mandatory.
• Strong expertise in Apache Spark (PySpark preferred), Python, and SQL.
• Hands-on experience with at least one major cloud platform (Azure preferred, AWS or GCP acceptable).

Responsibilities

• Architect and guide implementation of Databricks-based data platforms using Lakehouse and Medallion patterns.
• Provide hands-on technical leadership across data engineering, analytics, and AI-enabled use cases.
• Define and enforce data governance, security, and access control standards.
• Enable and support AI/ML workloads, including pipelines and model lifecycle integration.
• Optimize platform performance, scalability, and cost efficiency with a FinOps mindset.
• Collaborate with business leaders and engineering teams to align platform capabilities with enterprise needs.
• Serve as a technical authority, mentoring teams and ensuring solution quality.

Skills

Databricks

Spark

Python

SQL

Data Modeling

Tools

Delta Lake

Unity Catalog

Databricks Workflows

Terraform

Job description

Marlabs Inc. is seeking a Databricks Resident Solution Architect to design, guide, and operationalize cloud data platforms built on Databricks Lakehouse. You will translate business goals into secure, scalable designs and lead teams through platform adoption in regulated environments.

The role emphasizes hands-on leadership across data engineering, analytics, and AI workloads, with responsibilities for governance, security, and cost efficiency within enterprise-scale solutions.