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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Architecture Principal - Data... - **Company:** Cigna - **Location:** Bloomfield, CT, United States (Remote available) - **Experience:** Expert - **Salary:** $151,600.0 - $252,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Decision Support Systems, DevOps, Machine Learning, DataOps, Azure Machine Learning, Data Streaming, Enterprise Data Management, Google Cloud, Cloud Platform System, Data Layers, Event Driven Architecture, Microsoft Fabric, Information Technology, Deployment Automation, Data Analytics, Data Management, Machine Learning Operations, Video Streaming - **Published:** July 16, 2026 - **Apply:** https://www.juju.com/job/00000000ggmjt0 ## About the Role + Bachelor's degree in Computer Science, Engineering, or a related field. + 10+ years of experience in enterprise architecture, data engineering, analytics platforms, or related disciplines. + Strong knowledge of cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP). + Proven success defining **data/analytics architecture strategies, target states, and roadmaps** . + Experience with modern data platforms, APIs, streaming technologies, and data integration patterns. + Knowledge of data governance, privacy, security, and compliance frameworks. + Deep experience in **large-scale, regulated enterprise environments** (e.g., healthcare, financial services). + Experience with artificial intelligence (AI), machine learning (ML), and advanced analytics solutions. + Strong ability to **influence senior stakeholders without direct authority** . + Strong communication, leadership, and problem-solving skills. + Experience working in large, highly regulated industries such as healthcare or financial services is preferred. Expertise in: + Modern data platforms (Lakehouse, Data Mesh, Data Fabric) + Cloud ecosystems (Azure, AWS, GCP) + APIs, event-driven architecture, and streaming + Data governance, security, and privacy frameworks + AI/ML and advanced analytics platforms ## Description The **Enterprise** **Architecture Principal - Data & Analytics** is a senior technology leader responsible for defining the future **enterprise data and analytics architecture strategy, target states, and multi-year roadmaps** . This role **recognized architecture authority** architecture strategies, establishes technology standards, and creates multi-year roadmaps that support business goals and setting the **northstar vision** for modern data platforms, analytics, and AI-enabled capabilities-translating business priorities into **pragmatic, scalable, and future-ready architectures** . The individual will be operating with high enterprise influence and no direct reports, this role requires strong executive presence, the ability to influence without authority, and a relentless focus on enabling **data-driven decision making, hyper-personalization, and AI-first innovation** . Key Outcomes + **Enterprise Data & Analytics Vision:** Define and publish a **business-aligned data and analytics architecture strategy** with a clear **3-5 year roadmap** covering data platforms, governance, analytics, AI/ML, and integration layers. + **Scalable & Reusable Data Foundations:** Establish **modern, modular data architectures** that reduce fragmentation, promote reuse, and enable enterprise-scale analytics and AI. + **Decision Velocity through Architecture Governance:** Implement **architecture principles, guardrails, and decision frameworks** to improve speed, consistency, and quality of analytics and data platform decisions. + **AI-Ready & Insights-Driven Enterprise:** Enable **analytics-ready data, semantic layers, and AI capabilities** that accelerate insights, automation, and intelligent decisioning. + **Cross-Domain Alignment:** Act as a unifying architecture leader across **Digital, Data, AI, Security, and Business domains** to ensure alignment on key investment and design decisions. Responsibilities + Develop and lead enterprise data and analytics architecture strategies and roadmaps. + Design and evolve **enterprise data & analytics architecture strategy, capability maps, and target-state designs** + Develop and maintain **multi-year roadmaps** aligned to business outcomes, cost optimization, and innovation priorities. + Lead architecture decisions for large-scale data, analytics, and AI initiatives. + Architect and support **modern data platforms** (cloud data lakehouse, streaming, real-time pipelines, semantic/ontology layers). + Partner with engineering, product, data, and business teams to deliver scalable and cost-effective solutions. + Evaluate emerging technologies and recommend innovative solutions that support business objectives. + Enable **self-service analytics** , BI, and advanced analytics capabilities across the enterprise. + Lead architecture for **AI/ML platforms, feature stores, and model lifecycle integration** . + Embed **data governance, quality, lineage, metadata, and stewardship frameworks** into architecture design. + Drive innovation in **AI/ML, GenAI, agentic analytics, and intelligent automation** . + Provide architecture leadership for **high-impact data and analytics initiatives** . + Establish **reference architectures, reusable patterns, and standards** for enterprise adoption. + Develop reusable architecture patterns, frameworks, and standards for enterprise adoption. + Support modern engineering practices, including DataOps, MLOps, and automated deployment processes. + Partner with engineering, product, and data teams to ensure architectures are **executable, scalable, and cost-efficient** . + Provide technical leadership, mentoring, and guidance across the architecture and data community. + Enable adoption of **modern engineering practices** (DataOps, MLOps, CI/CD for data). + Influence strategic technology decisions and drive alignment across multiple teams and business areas. + Serve as a **mentor and thought leader** across the architecture and data community. + Drive adoption of **best practices, patterns, and architectural discipline** . ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)