Enterprise Architect

Job Description:

Role: Enterprise Architect – Infrastructure (Contract-to-hire, 18 months)

Location: Remote | Travel every 4–6 weeks (Buffalo/Wilmington)

Job Summary:

This role is a Senior Enterprise Infrastructure Architect / Enterprise Cloud Architect with a strong focus on Azure, Hybrid Cloud, Data Center Architecture, and Site Reliability Engineering (SRE). The person is expected to operate at the enterprise architecture level, defining standards, principles, roadmaps, governance, and future-state architecture rather than performing hands-on engineering tasks.

Role 1:

• Owns the conceptual and logical architecture for enterprise infrastructure spanning Azure cloud, co-location data centers, compute, networking, and platform services. Defines high-level physical architecture standards for scalable, resilient, and cost-efficient environments supporting all platforms, including AI and digital workloads.
• Establishes enterprise architecture patterns for hybrid infrastructure, ensuring seamless integration across cloud and on-premise environments. Drives alignment with enterprise cloud strategy, platform engineering models, and cross-domain architecture (data, AI, cyber).
• Defines architecture principles and patterns for Site Reliability Engineering (SRE) across both Azure and co-location environments, including:

1. Reliability, availability, and fault tolerance design principles

2. Scalability and capacity management models

3. Resilience patterns (e.g., failover, geo-redundancy, disaster recovery)

4. Observability, monitoring, and telemetry architecture at platform level

5. Automation and infrastructure-as-code enablement

• Establishes high-level SRE operating models, including error budgets, SLIs/SLOs, and reliability governance frameworks, ensuring consistency across engineering teams and platforms.
• Maintains deep knowledge of infrastructure and cloud technologies, including Azure-native services, hybrid connectivity, container platforms, and distributed systems, ensuring architecture decisions are both forward-looking and implementable.
• Partners with engineering, SRE, and platform teams to ensure infrastructure architectures are operationally viable, resilient, and aligned to SDLC delivery models, and communicates tradeoffs, risks, and investment priorities to senior leadership.

Role 2:

Enterprise Architect – Data & AI

Defines the enterprise conceptual and logical architecture for data and AI, including data domains, data exchange patterns, pipelines, model integration, and analytics ecosystems. Establishs high-level physical architecture principles governing how data is sourced, transformed, exchanged, and consumed across platforms.

Drives standardization of data exchange patterns (e.g., event-driven, batch, streaming, API-based) to ensure consistency, scalability, and interoperability across the enterprise. Defines reconciliation and data integrity design principles, ensuring traceability, lineage, and alignment with regulatory requirements (e.g., BCBS239, model risk, data protection).

Maintains deep knowledge of supporting data and AI technologies (e.g., data platforms, integration frameworks, model hosting, analytics tooling) to ensure architecture decisions are both forward-looking and implementable. Establishes enterprise patterns for how AI models consume and produce data in a governed and auditable manner.

Aligns business use cases with scalable enterprise data and AI capabilities, ensuring governance, data quality, and regulatory compliance are embedded by design.

EEO : Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.