Hybrid Senior Director, Data Engineering – Architecture

at Breakthru Beverage Group

• Job title: Senior Director, Data Engineering – Architecture
• Job type: Full Time
• Experience level: Senior
• Salary: $168,000 - $220,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Cloud, Python, SQL
• Location requirements: Hybrid, Linthicum, United States

About the role

• Senior data leader managing the enterprise data architecture at Breakthru Beverage. Leading high-performing teams in data engineering and defining modern data strategies.

Responsibilities

• Build, hire, and lead a high-performing team of data engineers and architects, setting clear expectations, standards, and accountability.
• Define and own the multi-year data engineering and enterprise data architecture strategy.
• Build, lead, and mature BBG’s Data Engineering function responsible for the Snowflake data platform, ingestion pipelines, data transformations, and reusable enterprise data assets.
• Define the enterprise data architecture roadmap across ingestion patterns, canonical modeling, data products, MDM alignment, semantic layers, and AI-ready structures.
• Act as a hands-on technical leader, setting the engineering bar through direct involvement in complex technical challenges and critical architectural decisions.
• Collaborate with BBG’s business functions to translate their needs into scalable data architecture and engineering deliverables.

Requirements

• Bachelor’s degree in business, engineering, information technology or related work experience.
• 15+ years of experience in data engineering, enterprise data architecture, or software engineering, with 8+ years in an engineering or architecture leadership role.
• Proven experience building, leading, and scaling high-performing engineering and architecture teams.
• Deep experience architecting and operating modern cloud data platforms - ideally Snowflake on AWS.
• Hands-on expertise with SQL, Python, data modeling, ELT pipelines, dbt, orchestration frameworks (Airflow/MWAA), and DevOps tooling such as GitLab CI/CD.
• Strong experience designing enterprise-wide data architecture, including canonical models, domain-driven data products, semantic layers, and MDM integrations.
• Familiarity with SAP ECC/S/4 data structures and integration approaches (ODP, IDocs, APIs) is a plus.
• Demonstrated ability to define architectural standards, influence engineering teams, and drive alignment across IT, business partners, and external vendors.
• Experience enabling AI/ML use cases through well-designed data pipelines, feature stores, vector-enabled data sets, or integration with AWS (SageMaker, Bedrock) or Snowflake (Cortex) AI services.
• Excellent communication skills with the ability to guide decisions, simplify complexity, and represent data engineering and architecture at all levels of the organization.

Benefits

• This position is eligible to participate in a bonus program.
• This position is eligible for health care benefits.
• Life insurance.
• Time off benefits.
• Participation in the Company’s 401(k) plan.