Senior Data Architect: Databricks Lakehouse Champion

Franchise World Headquarters, LLC; Shelton (CT); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Pension Plan

Competitive Bonus

Mobility Allowance

Tuition Reimbursement

Company Holidays

Volunteer Time

Job summary

Franchise World Headquarters, LLC is seeking a Data Architect to define and evolve our enterprise data platform on Databricks, guiding lakehouse, streaming, and batch solutions for analytics, reporting, and AI/ML use cases. The role partners with Data Engineering, Analytics, Security, and Business teams to ensure scalable, cost-efficient data platforms.

You will mentor engineers, influence technology choices, and drive data governance across the organization, with a focus on reliability and data

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 8–12+ years of data engineering/architecture experience.
• Experience with enterprise data platforms on Databricks/Snowflake/Redshift.
• Strong SQL and Python/PySpark skills.
• Ability to translate business requirements into scalable designs.

Responsibilities

• Define and lead enterprise architecture for data platforms on Databricks.
• Migrate legacy workloads to the Databricks lakehouse, set standards.
• Guide adoption of Databricks features and ensure reliability.
• Enforce data governance using Unity Catalog and RBAC/ABAC.
• Mentor engineers and drive cost-optimization.
• Define KPIs for platform reliability and freshness.

Skills

SQL

Python/PySpark

Architectural leadership

Communication

Cloud experience

Data governance

Education

Bachelor's degree in CS/Engineering/Data

Tools

Databricks

Delta Lake

Unity Catalog

MLflow

Airflow

Terraform

Job description

Franchise World Headquarters, LLC is seeking a Data Architect to define and evolve our enterprise data platform on Databricks, guiding lakehouse, streaming, and batch solutions for analytics, reporting, and AI/ML use cases. The role partners with Data Engineering, Analytics, Security, and Business teams to ensure scalable, cost-efficient data platforms.

You will mentor engineers, influence technology choices, and drive data governance across the organization, with a focus on reliability and data