Staff Data Architect: Platform & AI Data Leader

Opiniion Inc.

Lehi (UT)

Hybrid

USD 130,000 - 190,000

Full time

3 days ago

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Benefits offered by this job

Comprehensive healthcare plans

401(k) retirement plan with match

Pre‑tax Health Savings Accounts (HSA)

Paid Parental Leave

Unlimited Time Off

Monthly Wellness Reimbursement

Job summary

Opiniion is seeking a Staff Data Architect to own end‑to‑end data platform architecture, spanning ingestion, modeling, governance, and analytics readiness. You will collaborate with the Staff Software Architect to shape both current and next‑gen platforms, balancing evolution with ongoing operations.

You’ll guide data models, pipelines, and governance while mentoring engineers and aligning with business stakeholders to deliver scalable, reliable data foundations for analytics and AI initiatives.

Qualifications

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 compliance frameworks relevant to data platforms (SOC 2, data privacy regulations)
Exposure to AI/ML data readiness: feature pipelines, vector stores, or RAG‑supporting data architectures is a strong plus
Excellent communication skills, with the ability to translate technical tradeoffs for non-technical stakeholders
A strong bias for action and a mindset of continuous improvement
Comfort co‑owning technical direction alongside a peer architect, without needing a single‑owner model

Responsibilities

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