
1001 - 5000 employees
🤖 Artificial Intelligence
🔒 Cybersecurity
💰 Private Equity Round on 2019-01
Artificial Intelligence • Consulting • Cybersecurity
Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.
🔥 1 minute ago
🏖️ New Jersey – Remote
💵 $180k - $190k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🏛️ Architect
🦅 H1B Visa Sponsor
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1001 - 5000 employees
🤖 Artificial Intelligence
🔒 Cybersecurity
💰 Private Equity Round on 2019-01
Artificial Intelligence • Consulting • Cybersecurity
Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.
• Lead the architecture and design of enterprise Data & AI platforms supporting analytics, reporting, machine learning, and AI-driven business capabilities. • Define scalable data architecture, governance, security, and operational frameworks for modern cloud-native platforms. • Partner with business and technology stakeholders to identify and prioritize data modernization, AI, and automation opportunities. • Architect and guide implementation of AI, Generative AI, and Agentic AI solutions leveraging enterprise data assets. • Establish architecture standards, best practices, and technology roadmaps across data engineering and AI initiatives. • Provide technical leadership and mentorship to engineering, platform, and AI teams.
• 12-15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and AI/GenAI solutions, with proven experience designing and delivering enterprise-scale data and AI platforms. • Strong expertise in data architecture, data engineering, data warehousing, data lakes, lakehouse architectures, data modeling, metadata management, and data governance. • Proven experience designing and implementing enterprise-scale data platforms from ingestion through analytics and AI consumption layers. • Deep understanding of batch, streaming, and real-time data processing architectures. • Strong hands-on experience in Databricks Lakehouse Platform, Delta Lake, Unity Catalog, Spark, Workflows, ML/AI capabilities, Mosaic AI, Agent frameworks, and enterprise data engineering patterns. • Google Cloud Track: BigQuery, Dataproc, Dataflow, Vertex AI, Cloud Storage, AI/ML services, and modern cloud-native data platform architectures. • Experience building scalable cloud-native data platforms with strong focus on performance, governance, security, and operational excellence. • Strong understanding of Generative AI, LLMs, RAG, Vector Databases, AI Agents, Multi-Agent Architectures, and Agentic AI patterns. • Hands-on experience designing and deploying AI solutions using Databricks AI capabilities, Vertex AI, foundation models, and enterprise AI frameworks. • Experience integrating AI capabilities into enterprise data platforms while ensuring governance, security, and responsible AI practices. • Strong understanding of data quality, lineage, observability, metadata management, and platform governance. • Excellent stakeholder management, communication, and leadership skills with the ability to bridge business and technology teams. • Experience working in Real Estate, Property Technology, Marketplace, Consumer Digital, or adjacent industries is preferred but not required.
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