Senior Principal – Enterprise Architecture, Data, APIs, Integration Architecture

This is a fully remote position, open to applicants in Connecticut, +3 more states.

📋 Description

• Define and enhance the strategy for enterprise data and analytics architecture, including capability maps and target-state designs.

• Create and sustain multi-year roadmaps that are in alignment with business outcomes, cost optimization, and innovation objectives.

• Establish a data-as-a-product and a platform-centric operating model.

• Design modern data platforms, encompassing cloud-native databases, data lakehouses, streaming, real-time pipelines, and semantic/ontology layers.

• Set standards for data ingestion, transformation, storage, access, and consumption.

• Facilitate self-service analytics, business intelligence, and advanced analytics capabilities.

• Lead the architecture for AI/ML platforms, feature stores, and model lifecycle integration.

• Define a comprehensive enterprise integration strategy that includes APIs, messaging, event streaming, data sharing, and intelligent orchestration.

• Establish best practices for API-led connectivity, event-driven architecture, service mesh, and real-time integrations.

• Create reusable integration patterns that span digital channels, core platforms, and data and AI platforms.

• Direct enterprise interoperability architecture, which includes healthcare interoperability, the FHIR ecosystem, and external data exchanges.

• Integrate data governance, quality, lineage, metadata, and stewardship frameworks within architectural designs.

• Ensure that architectures are designed to meet regulatory, privacy, and security requirements.

• Promote innovation in AI/ML, Generative AI, agentic analytics, and intelligent automation.

• Assess emerging technologies such as knowledge graphs, semantic models, and real-time decision-making.

• Oversee proof-of-concepts and pilot projects.

• Create reference architectures, reusable patterns, and enterprise standards.

• Foster alignment across portfolios to minimize duplication and optimize investments.

• Collaborate with engineering, product, and data teams to ensure that architectures are practical, scalable, and cost-effective.

• Enable DataOps, MLOps, and continuous integration/continuous deployment for data.

• Support vendor and platform strategy.

• Mentor and provide thought leadership within the architecture and data community.

⛳️ Requirements

• Bachelor’s degree in computer science, engineering, or a related field.

• Over 12 years of experience in enterprise architecture, data engineering, or analytics platforms.

• Demonstrated success in defining data and analytics architecture strategies, target states, and roadmaps.

• Extensive experience in large-scale, regulated enterprise environments, such as healthcare or financial services.

• Strong capability to influence senior stakeholders without having direct authority.

• Expertise in modern data platforms, including Lakehouse, Data Mesh, and Data Fabric.

• Proficiency in cloud ecosystems such as Azure, AWS, and GCP.

• Knowledge of APIs, event-driven architecture, and streaming technologies.

• Familiarity with data governance, security, and privacy frameworks.

• Experience in AI/ML and advanced analytics platforms.

• For remote work, a cable broadband or fiber optic internet connection with a minimum of 10 Mbps download and 5 Mbps upload speed is required.

🏝️ Benefits

• Eligibility for an annual bonus.

• Long-term incentive plan eligibility.

• Medical benefits.

• Vision benefits.

• Dental benefits.

• Programs for well-being and behavioral health.

• 401(k) retirement plan.

• Company-paid life insurance.

• Tuition reimbursement.

• A minimum of 18 days of paid time off annually.

• Paid holidays.

• Leaves of absence.

• Option for remote work.