Data & AI Architect - Databricks / Google CloudExperience12-15 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.
Role OverviewWe are seeking a Data & AI Architect to lead the design and implementation of modern data and AI platforms. The ideal candidate will bring deep expertise in either the Databricks ecosystem or Google Cloud Platform (GCP), combined with strong data engineering and architecture fundamentals and hands-on experience with Generative AI and Agentic AI solutions.
The role will be responsible for defining scalable data architectures, enabling AI adoption, and driving modernization initiatives across data, analytics, and AI capabilities.
Key Responsibilities- 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.
Required Skills & Experience- 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 Track: 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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$185,000 - $190,000 a year
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
