Opiniion is a resident experience tool that partners with property management to create better living experiences for their residents. Backed by Five Elms Capital.
About the role
Opiniion is a SaaS, AI first company reshaping how businesses understand and act on customer feedback. We're looking for a Staff Data Architect to own the architecture of our data platform end to end: how data is ingested, modeled, governed, and made available for analytics and AI across the company. As we scale, this role will be critical to building a data foundation that can support increasingly sophisticated analytical models. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 10+ years of experience in data engineering or data architecture, including 7+ years in an architect or technical leadership capacity
- Deep expertise in Databricks (Delta Lake, Unity Catalog) or a comparable modern cloud data platform such as Snowflake
- Strong background in data modeling methodologies (dimensional modeling, medallion/lakehouse architecture, data vault)
- Experience designing statistical, correlation, and causation models to support analytics and decision making
- Hands on experience with ETL/ELT tools and orchestration (dbt, Airflow, Fivetran, or similar)
- Proficiency in SQL and Python, with experience in distributed processing (Spark/PySpark)
More about this role
HYBRID: Monday-Wednesday In-office
Opiniion is a SaaS, AI first company reshaping how businesses understand and act on customer feedback. We're looking for a Staff Data Architect to own the architecture of our data platform end to end: how data is ingested, modeled, governed, and made available for analytics and AI across the company. As we scale, this role will be critical to building a data foundation that can support increasingly sophisticated analytical models.
You'll partner closely with our Staff Software Architect to drive the technical direction of our next generation platform, pairing deep data architecture with application architecture to build something cohesive from the ground up.
We're building a new platform alongside our current one, so this role requires balance: owning and evolving the current data foundation while architecting what's next, and making clear decisions about what carries over versus what gets rebuilt.
This is a role for someone who thinks in data models and pipelines, can make platform level tradeoffs with confidence, and stays hands on with the systems they design.
- Own the architecture of our data platform, including ingestion, transformation,...
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