Senior Data Engineer responsible for designing and building real - time data pipelines using Apache Kafka. Collaborating with cross - functional teams to support data - driven applications.
About the role
- Data Architect developing enterprise data architecture and oversight for Heaven Hill. Collaborating with IT and business teams to optimize data models, governance, and analytics.
Responsibilities
- Translate cross-functional business needs into scalable enterprise data architecture (models, integration patterns, and reference architectures)
- Roadmap digital transition so internal and external data sources are useful for self-service analytics and AI tools
- Set and enforce standards for Microsoft Fabric Warehouse (medallion architecture, workspace strategy, naming conventions, reusable templates)
- Own Power BI semantic layer and metric governance (certified datasets, shared dimensions, dataset standards, consistent metric definitions)
- Drive data and trust compliance with Security and governance partners (quality, lineage, access controls, auditability) using Purview and platform controls
- Align ERP master/reference data definitions with analytics needs in partnership with the Accounting Master Data team
- Enable delivery by collaborating with Data Engineering on ingestion/transformation and translating architecture into epics/stories and design review guardrails
- Lead a formal Data Architecture CoP to standardize practices, run design reviews, and manage exceptions
- Define AI data readiness standards (structured + unstructured ingestion), governed RAG patterns, and MCP-based data/tool access in partnership with AI Engineering; advice Security/AI Center of Excellence on controls. Implementation delivered in partnership with AI Engineering and Security
- Evaluate 3rd party solutions for Governance, Master Data Management, AI Agents, etc.
Requirements
- Bachelor’s degree (Computer Science, Engineering, Information Systems, Data Science, Statistics) or equivalent experience.
- Minimum 8 years of experience in data architecture, analytics engineering, or data engineering with strong architecture ownership.
- Strong expertise in enterprise data modeling and analytics design (e.g., dimensional modeling and modern warehouse patterns).
- Demonstrated ability to standardize semantic models and reporting layers across teams (Power BI semantic modeling preferred).
- Experience establishing or operating data governance practices (data quality, lineage, access control, and secure data sharing).
- Ability to translate business goals into technical solutions and drive adoption through influence and formal governance processes.
- Strong communication and collaboration skills across technical and non-technical audiences.
- Experience with Microsoft Fabric (Warehouse/OneLake) and Power BI at enterprise scale.
- Experience with data solutions across on-prem and cloud environments, including connectivity, security/access patterns, and operational considerations.
- Familiarity partnering with Security and governance tooling such as Microsoft Purview (classification, lineage, access).
- Hands-on or architecture-level experience with RAG patterns (retrieval design, embeddings/vector search concepts, and evaluation approaches).
- Familiarity implementing or integrating Model Context Protocol (MCP) or similar tool/data connector patterns for AI applications.
- Experience designing ingestion and governance for unstructured content alongside structured warehouse data.
Benefits
- Paid Vacation
- 11 Paid Holidays
- Health, Dental & Vision eligibility from day one
- FSA/HSA
- 401K match
- EAP
- Maternity/Paternity Leave
Job title
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