Principal Solution Architect, Head of Data & Analytics
Role summary
Occulytics is seeking a Principal Solution Architect to lead the technical direction for their data and analytics client work in the senior living industry. This hands-on, client-facing role involves designing scalable data platforms, warehouses, and BI systems, translating business needs into technical solutions, and ensuring overall solution quality. The ideal candidate has 10+ years of experience in data/analytics/data engineering, strong SQL and data modeling fundamentals, and familiarity with modern stacks like Snowflake and BigQuery. Experience in consulting or client-facing roles is essential, along with the ability to leverage AI tools to enhance development. This is a key role in scaling the company's technical foundation.
About Occulytics
Occulytics is building the data layer for the senior living industry.
We partner with operators and investors to turn fragmented data into systems that drive occupancy, pricing, and growth. Our work goes beyond dashboards—we design
end-to-end data and decision platforms
used across portfolios.
We’re a fast-growing company operating at the intersection of
data, analytics, and real-world operations
in a large, underserved market.
The Role
We’re hiring a
Principal Solution Architect
to own the technical direction of our client work.
This is a
hands-on, client-facing role
combining architecture, delivery leadership, and system design. You’ll define how we build—and ensure everything we ship meets a high bar.
You’ll work across:
- Data platforms and analytics systems
- KPI and modeling layers
- Select software / application-layer solutions that operationalize data
What You’ll Do
- Design
scalable data and analytics architectures
(warehouse, modeling, BI)
- Act as the
technical lead
with clients—translate business problems into systems
- Own data models, metric definitions, and overall solution quality
- Review and guide work from engineers and partners
- Extend analytics into
tools, workflows, or lightweight applications
when needed
- Use AI tools to accelerate development, improve quality, and rethink workflows
- Build internal standards and reusable patterns as we scale
What We’re Looking For
- 10+ years in data / analytics / data engineering
- Experience designing
enterprise-grade data platforms
- Background in
consulting or highly client-facing roles
- Strong SQL + data modeling fundamentals
- Comfortable working across data and light application layers (APIs, tools, workflows)
- Fluent with modern stacks (Snowflake, BigQuery, dbt, etc.)
- Comfortable using AI tools (Claude Code, Codex, etc) securely to accelerate work when appropriate
- Strong communicator who can push back and guide clients
What This Role Is
- A
hands-on architect
, not just a manager
- A
client-facing technical leader
- A key partner in scaling a fast-growing company
What It’s Not
- Not a pure data engineering role
- Not a dashboard-only BI role
- Not a people management-heavy position
Compensation
- Base:
$150,000 – $175,000
- Bonus + Equity:
Available
- Location:
Chicago preferred (relocation assistance available)
Why This Role
- High ownership, low bureaucracy
- Work on real problems with direct business impact
- Help define the technical foundation of a growing company