Experience
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.
Role Overview
We 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."
Know more about Data and AI: https://www.brillio.com/services-data-analytics/
Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/
Equal Employment Opportunity Declaration
Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.
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Skills Required
- 12-15 years of experience in data architecture, data engineering, cloud data platforms, and AI/GenAI solutions
- Strong expertise in data architecture, data engineering, data warehousing, data lakes, lakehouse architectures, and data modeling
- 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
- Hands-on experience in either Databricks track (Databricks Lakehouse, Delta Lake, Unity Catalog, Spark, Workflows, Databricks AI/ML) or Google Cloud track (BigQuery, Dataproc, Dataflow, Vertex AI, Cloud Storage)
- Strong understanding and hands-on experience with Generative AI, LLMs, RAG, Vector Databases, AI Agents, Multi-Agent and Agentic AI patterns
- Experience designing and deploying AI solutions using foundation models, enterprise AI frameworks, Databricks AI capabilities or Vertex AI
- Experience integrating AI into enterprise data platforms with governance, security, metadata management, lineage, observability, and responsible AI practices
- Ability to define architecture standards, technology roadmaps, and provide technical leadership and mentorship to platform and engineering teams
- Excellent stakeholder management and communication skills to bridge business and technology teams
- Experience in Real Estate, PropTech, Marketplace or Consumer Digital industries
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
