Data Architect

Opiniion is a resident experience tool that partners with property management to create better living experiences for their residents. Our platform has helped thousands of property managers collect and act on real-time feedback, improve resident experiences, and enhance their online reputation. Opiniion is committed to exceptional service and innovation, earning recognition as one of America’s fastest-growing private companies. Driven by a forward-thinking team, we’re shaping the future of resident engagement.

Our continued growth and commitment to innovation make this an exciting time to be part of our team!

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, storage, and semantic/BI layers
• Partner with the Staff Software Architect to co‑drive the architecture and rollout of our new platform
• Balance ownership of the current data platform with architecting the new one, making deliberate calls on what to carry over, what to rebuild, and how the two coexist during the transition
• Architect the data foundation needed to scale, ensuring the platform can support growing data volume, complexity, and analytical demand
• Own canonical data models, schema design, and data architecture standards across the platform
• Design and implement correlation, causation, and statistical models to support deeper, more reliable insights across the platform
• Lead platform decisions across our data stack, built primarily on Databricks
• Architect governed, reusable data pipelines feeding BI tools like Omni and downstream AI/ML use cases
• Establish data quality, governance, and lineage practices across the organization
• Partner with engineering leadership and business stakeholders to translate reporting and analytics needs into scalable data architecture
• Guide and mentor data engineers through design reviews, technical documentation, and hands on support
• Evaluate and recommend data tools, frameworks, and platform investments, including build vs. buy calls
• Support AI/ML initiatives with well modeled, accessible, and trustworthy data foundations

• 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)
• Experience designing data governance frameworks including data quality, lineage, and access control
• Familiarity with BI and semantic layer tools (Omni, Looker, Tableau, or similar)
• Working knowledge of cloud infrastructure (AWS, GCP, or Azure)
• Understanding of security and…