Enterprise Architecture Principal – Data & Analytics
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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
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.
Benefits
- medical
- vision
- dental
- well-being and behavioral health programs
- 401(k)
- company paid life insurance
- tuition reimbursement
- a minimum of 18 days of paid time off per year
- paid holidays
- leaves of absence
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What This Job Offers
Job Type
Full-time
Career Level
Senior
