Data Platform Leader — Cloud, AI & Governance

McLane Company, Inc.; Temple (TX); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Day 1 Benefits: medical, dental, and 

Paid time off begins day one

Pet insurance

Maternity/paternity leave

Employee assistance programs

Discount programs

Tuition reimbursement

Job summary

McLane Company, Inc. is seeking a Data Engineering Manager to lead the design, delivery, and operation of enterprise-scale data platforms enabling analytics, BI, AI/ML, and decision support across planning, procurement, manufacturing, and logistics.

The role emphasizes ownership of data pipelines, data governance, and cost efficiency, with a focus on secure, compliant, and scalable data ecosystems for enterprise-wide use.

Qualifications

• Bachelor’s degree required in CS/engineering or a related field.
• 3+ years in data engineering, with 3+ years leading engineers or programs at enterprise scale.
• Proven delivery of cloud data platforms supporting analytics and operational workloads.
• Strong SQL, Python or Scala, and CI/CD & IaC for data platforms (Terraform, GitHub Actions, Azure DevOps).
• Experience implementing data governance, security, lineage, and quality frameworks.
• Domain fluency across two or more supply chain areas (planning, inventory, logistics, manufacturing, procurement).
• Experience with Databricks, Snowflake, Synapse, dbt, Airflow/ADF, Kafka/Event Hubs, Delta/Parquet/Iceberg, Apache Beam, Spark/PySpark.
• Familiarity with MDM, data contracts, semantic layers, and governed BI platforms (Power BI, Tableau, Looker).
• Exposure to ML feature stores, MLflow, production ML/GenAI enablement.
• Understanding of SRE-inspired data reliability and observability practices.

Responsibilities

• Lead and coach a high-performing data engineering organization.
• Own architecture and roadmap for cloud-based data lake/lakehouse/warehouse platforms (Databricks, Snowflake, Synapse, BigQuery).
• Establish scalable ELT/ETL pipelines and data delivery using AirFlow and data tooling.
• Deliver domain-oriented data products with clear ownership and SLAs.
• Enable analytics and AI use cases across demand and supply planning, inventory optimization, and logistics.
• Integrate ERP, WMS, TMS, OMS, PLM, EDI, IoT feeds.
• Partner with Analytics/Data Science for feature pipelines and production inference data.
• Lead data governance with cataloging, lineage, glossary, and ownership.
• Implement automated data quality frameworks and remediation workflows.
• Ensure SOX/privacy/security/retention compliance and least privilege access.

Skills

SQL

Python

Scala

CI/CD

IaC

Data governance

Security

Data modeling

ML/GenAI awareness

SRE/observability

Education

Bachelor's degree in computer science, engineering, or related field

Tools

Databricks

Snowflake

Synapse

dbt

Airflow/ADF

Kafka/Event Hubs

Delta/Parquet/Iceberg

Apache Beam

Spark/PySpark

Job description

McLane Company, Inc. is seeking a Data Engineering Manager to lead the design, delivery, and operation of enterprise-scale data platforms enabling analytics, BI, AI/ML, and decision support across planning, procurement, manufacturing, and logistics.

The role emphasizes ownership of data pipelines, data governance, and cost efficiency, with a focus on secure, compliant, and scalable data ecosystems for enterprise-wide use.