--- title: 'Data Architect at Orion Innovation' canonical: 'https://feeny.ai/job/data-architect-orion-innovation-edison-m368ykn0f40e' type: 'job' last_seen: '2026-11-12' --- # Data Architect at Orion Innovation - **Company:** Orion Innovation - **Location:** Edison, NJ / Montvale, NJ - **Posted:** 2026-11-06 - **Last confirmed live:** 2026-11-12 - **Apply:** https://www.orioninc.com/careers/job/?gh_jid=4727932006 ## Job description Orion Innovation is a premier, award-winning, global business and technology services firm.  Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity.  We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Experience: 15+ Years Role: Data Architect – Data & AI Platforms ## Role Overview We are seeking an experienced Data Architect to drive the architecture, analytics, and AI-ready data strategy for enterprise platforms. The ideal candidate will combine deep technical expertise in Databricks, Microsoft Fabric, knowledge graphs, and ontologies with strong architectural leadership, strategic thinking, and client-facing communication skills. This role requires someone who can define a compelling data and AI vision, translate it into an actionable technology roadmap, and lead architecture teams to deliver scalable solutions. ## Key Responsibilities 1. Data Architecture & Technical Leadership - Lead the architecture and evolution of enterprise-scale data and analytics platforms. - Design scalable data processing, integration, transformation, and analytical solutions using Azure Databricks and Microsoft Fabric. - Establish architectural standards, best practices, and reference architectures for data platforms. - Guide data architects and engineering teams in designing reliable, secure, high-performance solutions. - Address architectural challenges involving data scalability, performance, governance, and interoperability. 1. AI-Ready Data & Context Engineering - Define how enterprise data can be organized, contextualized, and made accessible to AI agents and agentic applications. - Demonstrate strong understanding of ontologies, knowledge graphs, semantic models, and metadata-driven architectures. - Design approaches that combine structured and unstructured enterprise data to provide meaningful business context to AI agents. - Understand and apply concepts such as RAG, GraphRAG, semantic retrieval, and context engineering. - Establish reusable patterns for exposing trusted enterprise data to AI agents through APIs, tools, and other integration mechanisms. 1. Data Analytics & Platform Scalability - Architect large-scale data analytics solutions using Databricks, including distributed processing, Delta Lake, and Lakehouse architectures. - Understand Microsoft Fabric capabilities, including OneLake, Lakehouse, Data Warehouse, and semantic models. - Drive performance optimization, scalability, reliability, and cost efficiency across data platforms. - Evaluate emerging data technologies and recommend their adoption based on business value and architectural fit. 1. Strategy, Vision & Roadmap - Own and articulate the long-term data platform and AI-enablement vision. - Assess existing capabilities, identify architectural gaps, and define future-state architectures. - Develop practical, phased technology roadmaps aligned with business priorities. - Identify opportunities to evolve traditional analytics platforms into intelligent, AI-enabled enterprise data ecosystems. - Balance strategic architectural direction with pragmatic delivery considerations. 1. Client Engagement & Team Leadership - Act as a senior client-facing technology leader, engaging with client architects, technology leadership, and business stakeholders. - Clearly communicate complex architectural concepts, technology recommendations, and trade-offs to technical and non-technical audiences. - Lead and mentor a team of data architects, providing technical direction and architectural governance. - Facilitate architecture discussions, design reviews, and strategic planning sessions. - Influence architectural decisions and build stakeholder confidence through strong technical credibility and a clear vision. Required Qualifications & Experience - 15+ years of experience in data engineering, data architecture, enterprise analytics, or related technology domains. - Proven experience leading enterprise-scale data architecture and modernization initiatives. - Deep hands-on architectural expertise in Azure Databricks, including Lakehouse architecture, Delta Lake, Spark, and large-scale data processing. - Strong working knowledge of Microsoft Fabric, its architecture, capabilities, and integration with enterprise data ecosystems. - Solid understanding of ontologies, knowledge graphs, semantic technologies, and enterprise data modeling. - Demonstrated understanding of how enterprise data supports generative AI, AI agents, and context-aware intelligent applications. - Experience designing scalable, secure, and governed enterprise data platforms. - Proven ability to define technology strategy, target-state architecture, and phased implementation roadmaps. - Experience leading teams of data architects and technical specialists. - Excellent client-facing communication, presentation, stakeholder management, and technical storytelling skills. - Ability to work independently, challenge existing approaches, and recommend innovative yet practical solutions. ## Preferred Qualifications - Experience with Microsoft Azure data and AI services, including Azure AI Search, Microsoft Foundry, and related services. - Knowledge of Microsoft Fabric IQ, semantic layers, and emerging enterprise context platforms. - Experience implementing knowledge graphs or ontology-driven enterprise data solutions. - Familiarity with agentic AI frameworks, MCP, and enterprise AI integration patterns. - Experience with complex, globally distributed enterprise environments, particularly regulated industries. - Experience developing enterprise data strategies and presenting them to senior technology executives. What Success Looks Like - A clear, compelling Data & AI Architecture Vision aligned with business objectives. - A practical roadmap for evolving existing Databricks and Microsoft Fabric capabilities. - A scalable architectural approach for making trusted enterprise data available to AI agents. - Strong architectural leadership and consistent technical direction across data engineering teams. - Recognition as a trusted architectural advisor to client technology leadership. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This https://www.orioninc.com/candidate-data-privacy-policy/ (“Notice”) explains: - What information we collect during our application and recruitment process and why we collect it; - How we handle that information; and - How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general [Privacy Policy](https://www.orioninc.com/privacy-policy/). ## About Orion Innovation ## Company Overview - **One-liner**: Orion Innovation is a global software engineering and data company that helps enterprises modernize technology, reimagine customer experiences, and accelerate growth through Data, AI, Cloud, and Experience Design. - **Entity Type**: Private (acquired by One Equity Partners in 2018) - **Headquarters**: Iselin, New Jersey, United States - **Founded**: 1993 - **Founders**: Not publicly available ## Core Business - **Industries**: IT Services and IT Consulting, with deep vertical expertise in Banking, Financial Services & Insurance (BFSI), Healthcare & Life Sciences, Telecom, Media & Technology, Sports & Entertainment, and Professional Services. - **Target Customers**: Large enterprises and mid-market organizations (B2B) across regulated industries seeking digital transformation. - **Mission/Purpose**: To help clients solve complex challenges, drive transformation, and move confidently toward what’s next. Their purpose is to build what matters, using Data, AI, and Cloud to turn technology into tangible business impact. ## Products & Services Orion delivers services rather than a single product, organized into core capabilities: - **Engineering**: Cloud-native development, AI/ML, mobile development, and quality engineering to accelerate time to market. - **Data & Analytics**: Data strategy, engineering, migration, analytics, and modern data platforms. - **AI**: Enterprise AI adoption advisory, responsible AI, generative AI development, and agentic systems. - **Cloud**: Cloud and VMware migration, legacy modernization, cloud security, managed services, and DevSecOps (hybrid and multi-cloud). - **Experience Design**: Human-centered design, UX/UI prototyping, journey management, and martech. - **Cybersecurity**: Adaptive cybersecurity, AI security, cyber defense operations, and GRC. ## Market Standing - **Valuation**: Not disclosed (private company, owned by One Equity Partners). - **Key Metric (Revenue)**: Annual revenue of **$1.3 billion** (2025 data from LinkedIn). - **Key Metric (Headcount)**: **6,000+ global associates** (as per company website; LinkedIn reports 3,122 with +8.0% YoY growth). - **Notable Investors/Partners**: **One Equity Partners** (majority owner); partner ecosystem includes hyperscalers (AWS, Azure, GCP) and leading data, cloud, and cybersecurity technology partners. - **Growth Signals**: - 30+ years in business with **20+ years average tenure** of top 10 clients (indicating high retention). - **12 major global delivery centers** in the US, Canada, Mexico, Europe (incl. Serbia, Romania), and India/APAC. - Active M&A history: acquired Banktech Software Services (2023), NetRD (2021), MERA (2019), Behavior (2019), Cabeus (2019). ## Competitive Advantages - **Deep Domain Expertise**: Unlike generalist IT shops, Orion has 30+ years of specialized experience in highly regulated industries (BFSI, Healthcare, Telecom). - **Full-Stack Digital Transformation**: Uniquely combines Data, AI, Cloud, Engineering, Design, and Cybersecurity under one roof, acting as a true end-to-end partner. - **Global Delivery Model**: Operates nearshore and offshore centers (12+ major delivery locations) enabling 24x7 support and cost efficiency. - **High Client Stickiness**: Average tenure of top 10 clients is **20+ years**, a strong signal of trust and delivery quality. - **Hyperscaler Partnerships**: Co-innovates with the three major cloud providers, acting as a trusted advisor. ## Strategic Focus - **Becoming a Data and AI Powerhouse**: The company is explicitly evolving into a global "Data and AI" leader, investing heavily in AI/ML, generative AI, and agentic systems. - **Enterprise AI Adoption**: Focus on moving clients from pilot to production scale with responsible and secure AI. - **Geographic Expansion**: Continued investment in their global delivery network across North America, Europe, and India/APAC. - **Industry Specialization**: Deepening vertical expertise in existing high-value sectors (BFSI, Healthcare, Telecom). ## Why Work Here - **Culture & Growth**: Described as a place where "curiosity drives progress" with a "Growth Mindset" value. Employees report high exposure to cutting-edge Data, AI, and next-gen engineering [orioninnovation.com](https://www.orioninnovation.com/careers/life-at-orion/). - **Learning & Development**: Strong emphasis on upskilling through the **Orion Academy** and hands-on global project work. Leaders are said to invest in employee progress [orioninnovation.com](https://www.orioninnovation.com/careers/life-at-orion/). - **Work Model**: **Hybrid** work model designed for "connection, flexibility, and high-performance teams" [orioninnovation.com](https://www.orioninnovation.com/careers/life-at-orion/). They blend flexibility with intentional collaboration. - **Global & Diverse**: A team of 6,000+ across 20+ nationalities. Inclusion is a stated priority, with cultural celebrations and an environment encouraging authenticity. - **Impact & Stability**: The company boasts high client retention (20+ year average) and works on mission-critical systems for large enterprises, offering a mix of project stability and challenging work. - **Perks & Recognition**: Awarded the **Cigna Healthy Workforce Designation**, indicating a focus on employee well-being and health benefits [orioninnovation.com](https://www.orioninnovation.com/careers/life-at-orion/). ## Sources 1. [Orion Innovation - Homepage](https://www.orioninnovation.com/) 2. [Orion Innovation - About Us](https://www.orioninnovation.com/about/who-we-are/) 3. [Orion Innovation - Life at Orion](https://www.orioninnovation.com/careers/life-at-orion/) 4. [Orion Innovation - Careers](https://job-boards.greenhouse.io/orioninnovation) 5. 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