Director, AI & Data Platform Engineer
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Job Description
Director of AI & Data Platform Engineer at ENFRA managing the architecture and delivery of modern data solutions. Spearheading the transformation towards an AI native enterprise.
Responsibilities:
- Own the end-to-end architecture and delivery of ENFRA’s Modern Data and AI platform, including the lakehouse landing zone (bronze/silver) and curated enterprise data warehouse and marts (gold).
- Translate enterprise data and AI strategy into a secure, scalable, production-ready platform supporting analytics, reporting, and AI agents, anchored by Microsoft Fabric/OneLake and Snowflake.
- Define and evolve platform reference architecture across ingestion, landing, standardization, curation, semantic layers, AI integration, and consumption patterns.
- Establish standards for data ingestion from source systems, including data contracts, metadata requirements, observability, lineage, quality checks, and change management.
- Partner with application teams to ensure reliable, governed pipelines and promotion of curated outputs into Snowflake as business-ready data marts.
- Enforce architectural guardrails to prevent platform fragmentation, duplicated datasets, and unmanaged point solutions.
- Design the platform for incremental onboarding of new data domains as the enterprise portfolio evolves.
- Influence and guide enterprise data modeling, semantic layer design, and reusable data product structures.
- Enable business product owners to easily consume the platform for reporting, dashboards, advanced analytics, and AI agents.
- Serve as the architectural bridge between raw and standardized data in the lakehouse and curated Snowflake marts.
- Define and enable platform-level capabilities for applied AI, generative AI, and agent-enabled workflows.
- Establish standardized integration patterns for models, prompts, orchestration, and inference services.
- Partner with data science and AI engineering teams to operationalize models without embedding platform logic in individual solutions.
- Embed governance, security, compliance, monitoring, lifecycle management, and cost controls directly into platform architecture.
- Act as the architectural authority for all data and AI platform decisions across the enterprise.
- Lead and grow a small, high-impact team of data and AI platform engineers or architects.
- Operate as a player-coach, remaining hands-on while establishing delivery practices, architectural reviews, and escalation paths.
- Provide architectural leadership for Snowflake, Microsoft Fabric/OneLake, and the broader data and AI tooling ecosystem.
- Evaluate and guide third-party vendors, systems integrators, and partners to ensure long-term platform fit and simplicity.
- Prevent platform sprawl and non-scalable experimental solutions.
Requirements:
- 8+ years of overall experience, including 4+ years in enterprise cloud data platform architecture.
- 3+ years of people leadership experience (may run concurrently).
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Deep experience architecting and delivering enterprise-scale modern data platforms.
- Strong hands-on expertise with Snowflake architecture, security, governance, and cost/performance optimization.
- Experience with Azure-based lakehouse landing patterns, including Microsoft Fabric and OneLake.
- Proven experience designing layered data architectures (bronze/silver/gold) with clear promotion criteria.
- Demonstrated ability to take data platforms from strategy through production and business enablement.
- Strong understanding of data architecture, semantic modeling, analytics consumption, and AI integration.
- Experience operating in environments with evolving data foundations.
- Strong executive communication skills and ability to influence without relying solely on authority.
Benefits:
- ENFRA is proud to be an Equal Opportunity Employer of Minorities, Women, Protected Veterans, and Individuals with Disabilities, and participates in the e-Verify program.
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