Solution Architect (CRE)

Future Works; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity opportunity

Company retreats

Bonuses

Job summary

Future Works in the United States is seeking a Solution Architect to define the technical blueprint for client-owned platforms within their cloud environments. You will lead end-to-end architecture across data ingestion, storage, canonical data models and AI layers, collaborating with data and tech leads, engineers and business outcomes partners.

You will shape secure, auditable architectures for real estate data platforms, focusing on integration, data quality and scalable deployment, while

Qualifications

• 5+ years in Solution Architecture, Platform Architecture or senior software engineering.
• Hands-on design and deployment in Azure cloud environments.
• Experience designing lakehouse/warehouse data platforms with ELT and data quality frameworks.
• Broad technical breadth including Python-based services, APIs, PostgreSQL or similar data stores, and modern web apps.
• Able to design end-to-end solutions linking data pipelines, analytics and UI.

Responsibilities

• Own end-to-end architecture across ingestion, storage, data model, data quality, model and agent services, reporting and user-facing apps.
• Define a single-tenant client environment inside the cloud tenancy with identity, access control, network isolation and audit logging.
• Shape the canonical data model linking funds, entities, assets, tenants, leases, loans and JV positions.
• Design read-only integration for systems that cannot be changed (APIs, operator feeds, SharePoint, Excel).
• Architect how AI layers map, retrieve and cite sources, with guardrails and model-agnostic design.

Skills

Solution Architecture

Platform Architecture

Senior software engineering

Cloud Azure

Power BI

Tools

Azure

Power BI

Yardi

MRI

Job description

About Future Works

Future Works is a US-focused, AI-native professional services firm building operational AI and data systems. Our foundation beliefs are simple: optimization lowers need for resources, which increases sustainability and resilience. We are a team of “Time Benders” on a mission to collapse timelines to operational transformation of high footprint companies in energy, real estate, data and beyond. Together, we master velocity.

We achieve our mission by building flawless, AI-powered systems. Our technology is already far more advanced than that of boutique services firms, but we are only getting started and the road from here leads to becoming world’s best Service-as-Software company. Regardless of the specific role, our ideal candidate will always have a keen interest in building symbiotic human-AI systems both individually and for teams; high energy, high agency and a certain passion for bending time.

The Role

We build custom data and AI platforms for institutional real estate owners, operators and fund managers. These are fixed-fee, gate-based cycles that start with a trusted data foundation and end with the views, agents and reports that each group inside the client’s business uses in their work.

As the Solution Architect, you define the technical blueprint that makes that possible. You are accountable for the architecture of a client-owned platform inside their own cloud environment, for the read-only integration pattern across every system their portfolio runs on, for the AI layer that maps, checks, abstracts and answers on top of it, and for the security, auditability and handover standards that let the client’s own team extend the platform after we leave. Working with the data and technology lead, full-stack engineers and a partner on business outcomes, you turn a fragmented landscape (property accounting, third-party operator packages, investor and deal platforms, spreadsheets, loan and JV documents) into one asset record that ties.

Key Responsibilities

Solution Architecture. Own the end-to-end architecture across ingestion, storage, the canonical data model, data quality, model and agent services, reporting and user-facing applications.

Client-owned environment design. Define a single-tenant platform inside the client’s own cloud tenancy (Microsoft is the common case) that meets their requirements for identity, access control by fund and role, network isolation, secrets management, audit logging, test environments and backup.

Canonical data model. Work with the data and technology lead to shape the schema that links funds, entities, assets, tenants, leases, loans and JV positions, plus the mapping rules that bring each third-party operator’s chart of accounts into the client’s format.

Read-only integration. Design the connector pattern for systems that cannot be changed and must never be written back to: property accounting APIs, monthly operator file intake, investor and deal platform feeds, SharePoint and Excel models, and document extraction from loan and JV agreements.

Trust architecture. Architect how a reported figure is produced and defended: deterministic calculations, reconciliation against source, data checks and tolerance thresholds, exception routing to the responsible deal team, lineage back to the source document, and immutable snapshots for closing models, quarterly projections and month-end.

AI layer. Architect where agents do the work and where they stop: mapping new operator data, abstracting loan and JV terms, retrieval that answers portfolio questions with sources cited, drafted commentary, client approval of mappings, rules and KPI definitions, evaluation and guardrails, and a model-agnostic design so the client chooses the models.

Production hardening. Set the non-functional requirements for performance, resilience, monitoring, deployment, rollback and release readiness, so the platform holds up beyond the pilot and through a quarter-end close.

Legacy retirement. Design the migration of history off the incumbent platform, the parallel run, and the evidence the client needs to sign off that the old system can be switched off.

Cross-functional technical leadership. Translate business and operational logic into clear technical decisions, guiding the team on trade-offs, sequencing and standards against a fixed fee and client-signed gates.

Process design and the value case. Shape the target operating process alongside the architecture, and build the value baseline with the client’s finance team so the investment is measured against their own numbers.

Handover. Document the architecture, the decisions behind it and the operating runbook, so the client’s named platform owner and team can extend the platform once the engagement ends.

What We’re Looking For

Required Skills and Experience

5+ years in Solution Architecture, Platform Architecture or senior software engineering, with a strong track record of designing secure, production-grade enterprise systems.

Cloud expertise. Hands-on design and deployment in Azure, which is the common client environment, and ideally AWS as well, covering identity, network segregation, secrets management and secure environment configuration. Familiarity with Fabric or Synapse and with Power BI is a strong plus.

Data platform architecture. You have designed a lakehouse or warehouse with layered zones (raw, mapped, validated and locked, or the medallion equivalent), ELT orchestration, reconciliation and data quality frameworks, and immutable snapshots.

Technical breadth. Strong working knowledge of Python-based services, APIs, PostgreSQL or similar data stores, and modern web application architectures.

Systems thinking. Proven ability to design end-to-end solutions that connect data pipelines, business logic, analytics or machine learning components, and operational user interfaces.

Integration experience. Practical experience around enterprise systems you cannot change: property accounting (Yardi, MRI, RealPage), investor and fund platforms (Juniper Square), deal and leasing platforms (Altrio, VTS), valuation tools (ARGUS), and SharePoint and Excel as de facto systems of record. Equivalent experience in another fragmented, ERP-heavy landscape counts if the real estate learning curve will be short for you.

Domain knowledge. Institutional real estate strongly preferred: fund, entity, asset and JV hierarchies, rent rolls and operating statements, budget vs actual and T-12, debt covenants and test dates, locked underwriting as a benchmark, and the downstream cost of a number that does not tie.

Auditable delivery. Good judgment around traceability, deterministic workflows, explainability and release control, in a setting where a figure shown to an investment committee has to be defensible back to its source.

AI architecture. LLM-based extraction, retrieval with cited sources, agent orchestration, evaluation and guardrails, and clear judgment about where AI should not touch a reported number.

Agile execution. Ability to work effectively in fast, hypothesis-driven delivery cycles where the focus is on proving value quickly without creating technical debt someone else inherits.

AI-native workflow. Comfort utilizing LLM code assistants and agentic engineering to improve speed, quality, and architectural clarity.

Client-facing presence. Able to run technical workshops with client data owners and defend architecture decisions in front of a CFO, COO or head of technology.

Working hours. Overlap with US Eastern business hours for workshops, gate reviews and client sessions.

Our Culture & Benefits

We believe that breakthrough results are driven by breakthrough experiences. Our culture is built on a foundation of freedom, high performance, and our seven core values.

Our Core Values

AI native. We use AI as a natural extension of our abilities to deliver faster, smarter, and better work.

Delivering joy. We underpromise and overdeliver, creating delight for our clients and our team.

Smooth & fast. We believe speed is the result of precision, flawless systems, and calm execution, not frantic effort.

Selfless. We proactively make work easier for others and measure our success by the success of the team.

Candid. We are direct, honest, and clear with each other, believing that transparent feedback is a gift.

Pursuing excellence. We are obsessed with quality and empower each other to break through boundaries and set new standards.

Ever evolving. We are relentlessly curious and improve every single week, sharing our learnings openly to elevate the entire organization.

Benefits & Perks

Connect deeply. We gather for immersive, all-expenses-paid company retreats in unique locations to connect, learn, and grow together.

Share in the upside. A competitive compensation package including equity, bonuses, substantial participation in company profits with a clear growth path to C-Level leadership based on performance.