Director, AI & Data Platform Engineer

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🕒 vor 25 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $134.430 - $179.425 / Jahr

⏰ Vollzeit

🔴 Experte

🏗️ Plattformingenieur

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Bernhard

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 1919

⚡ Energie

Energy • Engineering • Healthcare

Bernhard ist ein Unternehmen mit über 106 Jahren Erfahrung, das sich auf Energiedienstleistungen und technische Lösungen spezialisiert hat. Sie bieten umfassende Dienstleistungen wie Energie-as-a-Service, Energieoptimierung, Planungsdienstleistungen (mechanisch, elektrisch, strukturell), Energieaudits und Inbetriebnahme. Mit einem Fokus auf Innovation, Sicherheit und Nachhaltigkeit bietet Bernhard maßgeschneiderte Lösungen, die darauf abzielen, die Betriebseffizienz zu steigern und erhebliche Energieeinsparungen für Kunden in verschiedenen Sektoren, einschließlich Gesundheitswesen, Bildung und gewerblichen Einrichtungen, zu erzielen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.