What are the responsibilities and job description for the Enterprise Architect position at Anblicks?
Role Overview
We are seeking an experienced Enterprise Architect to lead the design and governance of a modern data platform for the Commercial Real Estate (CRE) domain. The ideal candidate will have deep expertise in data architecture, cloud data platforms (Snowflake), and analytics modernization, along with a strong understanding of CRE business processes (property, facility, and project management).
This role involves defining the end-to-end data architecture blueprint, ensuring alignment between business strategy, data governance, and technology implementation, and guiding engineering teams toward a scalable, metadata-driven, and AI-ready data ecosystem.
Key Responsibilities
Architecture & Strategy
We are seeking an experienced Enterprise Architect to lead the design and governance of a modern data platform for the Commercial Real Estate (CRE) domain. The ideal candidate will have deep expertise in data architecture, cloud data platforms (Snowflake), and analytics modernization, along with a strong understanding of CRE business processes (property, facility, and project management).
This role involves defining the end-to-end data architecture blueprint, ensuring alignment between business strategy, data governance, and technology implementation, and guiding engineering teams toward a scalable, metadata-driven, and AI-ready data ecosystem.
Key Responsibilities
Architecture & Strategy
- Define and own the enterprise data architecture blueprint for the CRE data platform on Snowflake.
- Design data ingestion, transformation, and consumption frameworks across structured, semi-structured, and unstructured sources.
- Establish architecture principles, reference models, and standards for data modeling, orchestration, and data governance.
- Align architecture decisions with business capabilities such as asset management, investor relations, and facility management.
- Align data architecture with facility management business capabilities — facility operations, occupancy analytics, maintenance, energy, and sustainability.
- Provide architectural oversight for data ingestion (ETL/ELT) pipelines using SnapLogic, Matillion, or Airflow.
- Guide data modeling and transformation frameworks using DBT and Snowflake best practices (schema design, clustering, performance optimization).
- Collaborate with product, data science, and BI teams to enable AI-driven insights and data democratization.
- Drive integrations across GWS operational systems.
- Evaluate emerging technologies (e.g., Snowflake Cortex, Iceberg, Data Sharing, AI/ML integrations) for roadmap inclusion.
- Define metadata management, data lineage, and quality frameworks in collaboration with governance teams (Collibra, Alation, etc.).
- Enforce security and compliance standards including data masking, access control, and auditability.
- Establish guidelines for data contracts, versioning, and environment management across dev/test/prod.
- Act as a bridge between business and technology, translating business goals into data-driven capabilities.
- Partner with CIO, CDO, and Solution Architects to ensure architectural coherence across applications, data, and analytics.
- Lead architecture reviews, technical workshops, and knowledge-sharing sessions.
- 12 years of experience in data and solution architecture, with at least 3 years as an Enterprise Architect.
- Strong experience designing solutions on Snowflake, including performance tuning, cost optimization, and security.
- Hands-on exposure to DBT for transformation, Python/SQL, and orchestration tools (Airflow, Matillion, SnapLogic).
- Good to have familiarity with CRE business processes
- Experience with data cataloging, lineage, and governance tools (Collibra, Alation, Informatica).
- Strong communication and presentation skills, with the ability to influence C-level stakeholders.