Data Engineer creating and managing data pipelines for critical data solutions at S&P Global. Collaborating on enterprise - scale data processing in a supportive, innovative environment.
BG
Hybrid Senior Director, Data Engineering – Architecture
Posted 3 hours ago
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.
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