AI-Driven Data Engineering Manager

McLane Company, Inc.; Round Rock (TX); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Day 1 benefits

401(k) profit sharing

PTO from day one

Pet insurance

Maternity/paternity leave

Tuition reimbursement

Job summary

McLane Company, Inc. seeks a Sr. Data Engineering Manager to lead scalable data pipelines, champion AI applications, and drive cloud/hybrid modernization. You will partner with stakeholders to translate business needs into scalable data solutions while building high-performing teams in a hybrid office setup near Temple, TX.

The role emphasizes data governance, compliance, and cost-optimized platforms, with a focus on delivering analytics-ready data ecosystems across the organization.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Statistics, or related field.
• 7+ years in data engineering / data platform engineering, including 3+ years leading teams.
• Strong stakeholder management and communication skills.
• Data Engineering in GCP is preferred.
• Experience with Spark, batch + streaming pipelines, and modern data architectures.
• Proven experience with ELT/ETL, orchestration, data modeling (dimensional/Data Vault).
• Strong understanding of data governance, security, and privacy controls.

Responsibilities

• Define and execute the data engineering strategy and operating model.
• Lead the design, development, and modernization of scalable data engineering pipelines.
• Champion the application of AI across data engineering practices, platforms, and products.
• Lead cloud and hybrid platform modernization (lakehouse, streaming, real-time + batch ingestion).
• Establish enterprise standards & architectures (ELT/ETL, medallion, semantic layer, data modeling).
• Drive data governance (quality, lineage, security, access, SLAs, data contracts).
• Ensure compliance & audit readiness (privacy-by-design, SOX, GDPR/CCPA).
• Deliver scalable, reliable, cost-optimized platforms (performance engineering, FinOps).
• Build reusable data pipelines & domain data products enabling analytics and AI/ML.
• Partner with stakeholders to translate requirements into technical solutions.
• Implement DataOps practices (CI/CD, testing, observability).
• Lead and develop high-performing teams (hiring, coaching, succession).
• Manage vendor strategy, tooling, and technology selection.
• Drive continuous improvement through SLIs/SLOs, pipeline performance, data quality, and cost metrics.

Skills

Spark expertise

SQL proficiency

Python proficiency

Data governance

DataOps practices

Leadership experience

GCP familiarity

Airflow

ETL/ELT design

Data modeling

Stakeholder management

Education

Bachelor’s degree

Tools

Cloud Composer

Dataproc

Dataflow

Dataform

BigQuery

GCS

Pub/Sub

Delta/Parquet

Microsoft Fabric

Job description

McLane Company, Inc. seeks a Sr. Data Engineering Manager to lead scalable data pipelines, champion AI applications, and drive cloud/hybrid modernization. You will partner with stakeholders to translate business needs into scalable data solutions while building high-performing teams in a hybrid office setup near Temple, TX.

The role emphasizes data governance, compliance, and cost-optimized platforms, with a focus on delivering analytics-ready data ecosystems across the organization.