Director, Data Engineering & Architecture

Breakthru Beverage Group • Tampa, FL

1d • $168,000 - $200,000 • Hybrid

About The Position

Breakthru Beverage Group (BBG) is in the midst of a major enterprise transformation to modernize our data foundations, simplify our technology landscape, and enable AI-driven decision-making across the business. A core pillar of this transformation is the development of a modern, scalable Snowflake data platform on AWS - the backbone for enterprise reporting, data products, and advanced analytics. We are seeking a strategic, hands-on engineering and architecture leader to build and evolve BBG’s enterprise data platform and establish our long-term data architecture standards. This leader will define the blueprint for how data is ingested, modeled, governed, and consumed - while also being unafraid to dive into code, solve complex engineering challenges, and set engineering excellence across the organization. The Director of Data Engineering & Architecture will lead the teams and capabilities responsible for building BBG’s Snowflake modern data platform and defining the enterprise-wide data architecture required for operational reporting, business insights, and AI products. This role sits at the intersection of strategy, architecture, and hands-on engineering. You will define and enforce architectural patterns, build reusable data products, drive modernization away from legacy systems, and ensure the platform is AI-ready and scalable to support BBG’s multi-year transformation agenda. This role follows a flexible hybrid schedule, with two days per week in the office and three days working from home. This role can be performed from any US Breakthru Beverage Office Location, or the Toronto, Canada office.

Requirements

• 10+ years of experience in data engineering, data architecture, or software engineering, with 4+ years in an engineering or architecture leadership role.
• Deep experience architecting and operating modern cloud data platforms - ideally Snowflake on AWS - including storage design, compute optimization, performance tuning, and cost governance.
• 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.
• Demonstrated ability to define architectural standards, influence engineering teams, and drive alignment across IT, business partners, and external vendors.
• A strong mix of strategic thinking and hands-on execution - able to see the big picture, define the long-term architecture, and also dive into code when necessary.
• Excellent communication skills with the ability to guide decisions, simplify complexity, and represent data engineering and architecture at all levels of the organization.

Nice To Haves

• Familiarity with SAP ECC/S/4 data structures and integration approaches (ODP, IDocs, APIs) is a plus.
• 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.

Responsibilities

• Build & Lead High-Performing Teams Build, hire, and lead a high-performing team of data engineers and architects, setting clear expectations, standards, and accountability.
• Coach, mentor, and develop team members through hands-on technical leadership, fostering a culture of excellence, ownership, and continuous improvement.
• Lead Data Engineering & Platform Build Build, lead, and mature BBG’s Data Engineering function responsible for the Snowflake data platform, ingestion pipelines, data transformations, and reusable enterprise data assets.
• Develop and enforce modern engineering standards - CI/CD, dbt, Terraform, orchestration, testing, observability - to drive reliability, automation, and consistency.
• Engineer the platform for AI readiness and developer productivity, designing scalable, AI-ready data foundations while leveraging AI-assisted development to accelerate delivery, improve code quality, and enhance the day-to-day engineer experience across the Data & AI organization.
• Own Enterprise Data Architecture Define the enterprise data architecture roadmap across ingestion patterns, canonical modeling, data products, MDM alignment, semantic layers, and AI-ready structures.
• Establish standards for data modeling, metadata, lineage, data contracts, data quality, and architectural governance across the organization.
• Own enterprise data architecture decisions and tooling strategy, leading evaluation, selection, and governance of data platforms and tools to ensure they align with BBG’s target architecture, security standards, scalability requirements, and long-term roadmap.
• Be Hands-On when Needed Act as a hands-on technical leader, setting the engineering bar through direct involvement in complex technical challenges and critical architectural decisions.
• Write, review, and approve production-grade code (SQL, Python, dbt, Terraform), ensuring high standards for quality, performance, security, and maintainability.
• Lead code reviews and design reviews, providing constructive feedback, enforcing best practices, and ensuring alignment with BBG’s architectural standards.
• Partner Across the Business Work closely with BBG’s business functions to translate their needs into scalable data architecture and engineering deliverables.
• Collaborate with SAP, AWS, and Snowflake partners to ensure alignment with BBG’s modernization and investment roadmap.
• Communicate architectural decisions clearly to both technical and non-technical stakeholders, influencing direction and securing alignment.
• Other duties, as assigned by the jobholder’s supervisor, may also be required

Benefits

• This position is eligible to participate in a bonus program.
• This position is eligible for health care benefits, life insurance, time off benefits and participation in the Company’s 401(k) plan

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees