Senior Data Platform Director — Cloud Lakehouse & Analytics

McLane Company, Inc; Temple (TX); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

FSA/HSA

Company-paid life insurance

Paid time off from day one

401(k) Profit Sharing

Pet insurance

Maternity/paternity leave

Employee assistance programs

Discount programs

Tuition reimbursement

Job summary

McLane Company, Inc. is seeking a Senior Director of Data Engineering & Analytics to lead a cloud-first lakehouse migration and build an enterprise-scale data platform at our Temple area offices. You will shape the data stack, governance, and analytics strategy, partnering with data science to scale ML models.

The role requires 10+ years in data engineering/architecture and proven leadership. This is a hybrid position with on-site work at least three days weekly from Temple, TX area.

Qualifications

• Bachelor’s degree in CS, Engineering, or Information Systems.
• 10+ years in data engineering/architecture, incl. 6+ years leading enterprise teams.
• Experience with cloud platforms (GCP/BigQuery preferred; other clouds ok).

Responsibilities

• Own data platform roadmap and migrate to a modern GCP/BigQuery lakehouse.
• Build a governed BI architecture with semantic layer and self-service analytics.
• Incorporate AI copilots and automation to improve velocity and reliability.
• Develop ML-ready data foundation with feature engineering in collaboration with data science.
• Hire, mentor, and lead a high-performing data eng/analytics team.

Skills

Leadership

Data architecture

Cloud data platforms

Looker/Power BI

DataOps

Migration to cloud

Education

Bachelor’s Degree in computer science, Engineering, Information Systems

Tools

GCP/BigQuery

Azure

AWS

Snowflake

Databricks

Looker

Power BI

Job description

McLane Company, Inc. is seeking a Senior Director of Data Engineering & Analytics to lead a cloud-first lakehouse migration and build an enterprise-scale data platform at our Temple area offices. You will shape the data stack, governance, and analytics strategy, partnering with data science to scale ML models.

The role requires 10+ years in data engineering/architecture and proven leadership. This is a hybrid position with on-site work at least three days weekly from Temple, TX area.