Solution Architect – CRE

Future Works

. Define the end-to-end technical architecture for custom data and AI platforms serving institutional real estate owners, operators and fund managers .

Posted 11/2/2026full-timeRemote • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining technical architecture for data and AI platforms, with a strong focus on secure, production-grade enterprise systems and cloud environments. Proficient in designing integrations, data quality frameworks, and end-to-end solutions for institutional real estate applications.

Highest-signal resume keywords

Solution ArchitectureAzure DeploymentPython-Based ServicesData Quality FrameworksInstitutional Real Estate Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

End-To-End Solution DesignData Pipeline IntegrationELT OrchestrationImmutable SnapshotsAPIsPostgreSQLLakehouse PlatformsSecure Environment ConfigurationIdentity ManagementNetwork Segregation

Soft Skills

Technical Workshop FacilitationDefending Architecture DecisionsCollaboration with Cross-Functional TeamsHypothesis-Driven Delivery

Tools & Technologies

AzureAWSPower BIFabricSynapseYardiMRIRealPageJuniper SquareSharePoint

Industry Keywords

Institutional Real EstateData QualityTraceabilityDeterministic WorkflowsAgent Orchestration

Tech Stack

Tools & technologies

AWSAzureCloudERPPostgresPython

About the role

Key responsibilities & impact

Define the end-to-end technical architecture for custom data and AI platforms serving institutional real estate owners, operators and fund managers
Design single-tenant platforms within client cloud environments
Own architecture across ingestion, storage, canonical data models, data quality, model and agent services, reporting and user-facing applications
Design read-only integrations across property accounting, operator files, investor and deal platforms, SharePoint, Excel and loan/JV documents
Architect trust, reconciliation, lineage, exception routing and immutable snapshots
Define AI agent workflows, retrieval with cited sources, guardrails and model-agnostic design
Set production requirements for performance, resilience, monitoring, deployment, rollback and release readiness
Design legacy-platform migration, parallel runs and retirement evidence
Guide technical trade-offs, sequencing and standards across cross-functional teams
Shape target operating processes and build value baselines with client finance teams
Document architecture, decisions and operating runbooks for client handover

Requirements

What you’ll need

5+ years in Solution Architecture, Platform Architecture or senior software engineering
Strong track record designing secure, production-grade enterprise systems
Hands-on design and deployment in Azure
Ideally, AWS experience
Experience with identity, network segregation, secrets management and secure environment configuration
Familiarity with Fabric or Synapse and Power BI is a strong plus
Experience designing lakehouse or warehouse platforms with layered zones, ELT orchestration, reconciliation, data quality frameworks and immutable snapshots
Strong working knowledge of Python-based services, APIs, PostgreSQL or similar data stores, and modern web application architectures
Proven ability to design end-to-end solutions connecting data pipelines, business logic, analytics or machine learning components, and operational user interfaces
Practical experience with enterprise systems such as Yardi, MRI, RealPage, Juniper Square, Altrio, VTS, ARGUS, SharePoint and Excel, or equivalent fragmented ERP-heavy environments
Institutional real estate knowledge strongly preferred
Knowledge of traceability, deterministic workflows, explainability and release control
Experience with LLM-based extraction, retrieval with cited sources, agent orchestration, evaluation and guardrails
Ability to work in fast, hypothesis-driven delivery cycles
Comfort utilizing LLM code assistants and agentic engineering
Ability to run technical workshops and defend architecture decisions before senior client stakeholders
Overlap with US Eastern business hours for workshops, gate reviews and client sessions

Benefits

Comp & perks

Competitive compensation package including equity and bonuses
Substantial participation in company profits
Clear growth path to C-Level leadership based on performance
All-expenses-paid company retreats in unique locations