Databricks Architect - R01568474
On-siteEdison, New Jersey, United States
Job Summary
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. This role requires 12-15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and AI/GenAI solutions, with deep expertise in either the Databricks ecosystem or Google Cloud Platform. Brillio is a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption.
Required Qualifications
- 12-15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and AI/GenAI solutions
- proven experience designing and delivering enterprise-scale data and AI platforms
- deep expertise in either the Databricks ecosystem or Google Cloud Platform (GCP)
- strong data engineering and architecture fundamentals
- hands-on experience with Generative AI and Agentic AI solutions
- 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 one of the following technology tracks: Databricks Lakehouse Platform, Delta Lake, Unity Catalog, Spark, Workflows, ML/AI capabilities, Mosaic AI, Agent frameworks, and enterprise data engineering patterns OR 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
Desired Qualifications
- Experience working in Real Estate, Property Technology, Marketplace, Consumer Digital, or adjacent industries
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.