Remote Data Modeling Lead: Lakehouse & AI-Driven Data

Holman; United States; Remote; USD 105,000 - 150,000; Full time

Benefits offered by this job

Health Insurance

Vision Insurance

Dental Insurance

401(k) with Company Match

Paid Time Off

Job summary

Holman is seeking an Senior Data Architect to lead data modeling and delivery across a modern Lakehouse architecture. You will design scalable Gold-layer business models and governance frameworks, enabling analytics, APIs, and AI-driven workflows.

You will work hands-on with Databricks, Delta Lake, Spark, dbt, and SQL, while mentoring teams and driving architecture reviews for performance, security, and cost efficiency.

Qualifications

• Degree in computer science, information systems, data engineering, or related field.
• 10+ years designing and implementing modern cloud data platforms and analytics environments.
• Strong experience with Databricks, Delta Lake, Spark, dbt, SQL, and cloud-native data engineering tools.

Responsibilities

• Lead design and implementation of enterprise data models and data products.
• Develop Medallion Architecture solutions across Bronze, Silver, and Gold layers.
• Mentor data engineers and analytics teams on modeling standards and best practices.
• Embed data quality, governance, and observability into the modeling lifecycle.
• Collaborate with stakeholders to translate requirements into scalable data solutions.

Skills

Data modeling

Data architecture

Cloud data platforms

Databricks

Delta Lake

Spark

dbt

SQL

AI-assisted development tools

Education

Bachelor's degree in Computer Science or related field

Master’s degree in CS/AI/Data Analytics (preferred)

Tools

Databricks

Delta Lake

Spark

dbt

SQL

Job description

Holman is seeking an Senior Data Architect to lead data modeling and delivery across a modern Lakehouse architecture. You will design scalable Gold-layer business models and governance frameworks, enabling analytics, APIs, and AI-driven workflows.

You will work hands-on with Databricks, Delta Lake, Spark, dbt, and SQL, while mentoring teams and driving architecture reviews for performance, security, and cost efficiency.