[Hiring] Director, AI & Data Platform Engineer @Enfra

Role Description

ENFRA is building a Modern Data and AI platform as the gravitational center of its transformation into an AI native enterprise. To lead this effort, we are establishing a Director, AI & Data Platform Engineer reporting directly to the VP, AI & Data Platform Engineer. This role owns the architectural patterns and operating model that move data reliably from landing through curation, governance, and consumption.

This is a senior strategic technical leadership role with direct reports. It combines deep hands-on platform architecture with enterprise influence and people leadership. The Principal Architect owns the delivery of ENFRA’s modern data and AI platform from foundational architecture through production readiness and business enablement.

This role sits above the business applications that integrate their data into the enterprise platform and below the business product owners who depend on the platform for analytics, reporting, and AI agents. Success is measured by whether the platform is usable, trusted, and actively accelerating business outcomes.

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.

Qualifications

• 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.

Preferred Education and Experience

• Master’s degree.
• Cloud or data platform certifications (Azure, Snowflake).
• Experience enabling generative AI or agent-based workloads at the platform level.
• Background building data platforms serving multiple business units.
• Familiarity with Microsoft-first enterprise architectures and governance models.
• Experience balancing speed, security, and cost in cloud data platforms.

Travel Requirements

• Travel required: 0–10%.

Physical/Work Environment Requirements

• Ability to remain in a stationary position, standing or sitting, for prolonged periods.
• Ability to assess the accuracy, neatness, and thoroughness of work.
• Repetitive motions involving wrists, hands, and fingers.
• Quiet work environment.
• Light physical work, including adjusting or moving objects up to 20 pounds.

Pay Range

USD $134,430.00 - USD $179,425.00 /Yr.

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. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, age, sexual orientation, gender identity, national origin, veteran status, disability, or any other classification protected by law.