Enterprise Data Architect & Strategy Leader

Brasseler USA Inc.; Northern (KY); Hybrid; USD 181,000 - 259,000; Full time

Job summary

Brasseler USA Inc. is seeking a Lead Data Architect to define a scalable, enterprise-wide data architecture aligned with business goals. You will oversee data lakes, data warehouses and cloud analytics platforms using Databricks, Snowflake, BigQuery, or Redshift, driving governance, security, and compliant data practices across teams.

The role requires leadership to mentor engineers and collaborate with business leads, product teams, and technology partners to deliver data-driven value at scale.

Qualifications

• 10+ years in data architecture, data engineering or related fields.
• Proven track record designing enterprise data architectures.
• Strong SQL/NoSQL and data modeling experience.

Responsibilities

• Define and implement a scalable, enterprise-wide data architecture aligned with business goals.
• Oversee data lakes, warehouses and cloud analytics platforms (Databricks, Snowflake, BigQuery, Redshift).
• Lead data governance, security, and compliance initiatives across the organization.
• Direct ETL/ELT strategies and cloud-based data integration (Airflow, dbt, Informatica).
• Mentor and lead data architects, engineers, and analysts; partner with business and tech leads.

Skills

Data architecture

SQL & NoSQL

Databricks

Snowflake

Cloud platforms (AWS/Azure/GCP)

Python

ETL/ELT design

Data governance

Leadership & mentoring

Security & compliance

Education

Bachelor’s degree in Computer Science or related

Master’s preferred

Tools

Databricks

Snowflake

BigQuery

Redshift

PostgreSQL

MongoDB

Cassandra

Airflow

dbt

Informatica

Job description

Brasseler USA Inc. is seeking a Lead Data Architect to define a scalable, enterprise-wide data architecture aligned with business goals. You will oversee data lakes, data warehouses and cloud analytics platforms using Databricks, Snowflake, BigQuery, or Redshift, driving governance, security, and compliant data practices across teams.

The role requires leadership to mentor engineers and collaborate with business leads, product teams, and technology partners to deliver data-driven value at scale.