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Databricks Architect Jobs in Orem, UT (NOW HIRING)

Staff Data Architect

Lehi, UT ยท On-site

$59.75 - $77/hr

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 ...

AI Solutions Architect

Midvale, UT ยท On-site

$59.50 - $78.25/hr

The ideal candidate is an AI-focused architect with hands-on experience in building and deploying solutions on data platforms like Databricks, who desires to have a broad influence within the ...

AI Solutions Architect

Midvale, UT ยท On-site

$59.50 - $78.25/hr

The ideal candidate is an AI-focused architect with hands-on experience in building and deploying solutions on data platforms like Databricks, who desires to have a broad influence within the ...

Cloud FinOps SME

Lehi, UT ยท On-site

$52.25 - $70/hr

Primary * Databricks (must have) * Azure cloud environment Secondary * AWS exposure * Power BI ... Data Engineers DevOps Engineers Cloud Architects without FinOps experience Finance analysts without ...

If you are ready to architect the backbone of a data-driven empire and eliminate friction at a ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

If you are ready to architect the backbone of a data-driven empire and eliminate friction at a ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

If you are ready to architect the backbone of a data-driven empire and eliminate friction at a ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

Build and maintain gold standard finance owned datasets in Databricks aligned with Data Architecture standards. * Build Finance and GTM reporting in Omni including pipeline performance, NRR, GRR ...

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Databricks Architect information

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the most commonly searched types of Databricks Architect jobs in Orem, UT?

The most popular types of Databricks Architect jobs in Orem, UT are:

What are popular job titles related to Databricks Architect jobs in Orem, UT?

For Databricks Architect jobs in Orem, UT, the most frequently searched job titles are:

Staff Data Architect

Opiniion

Lehi, UT โ€ข On-site

$59.75 - $77/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

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!
LOCATION: Lehi, UT
HYBRID: Monday-Wednesday In-office
POSITION OVERVIEW:
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.
WHAT YOU'LL DO:
  • 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

WHAT YOU BRING:
  • 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

NICE TO HAVE:
  • Experience with Databricks AI/BI or similar embedded AI/analytics tooling
  • Background in post-acquisition data integration or consolidating disparate data sources
  • Relevant certifications (Databricks Certified Data Engineer, SnowPro, or similar)
  • Experience with multi-country compliance requirements (data residency, privacy regulations, cross-border data handling)
  • Background in high-growth SaaS environments or post-acquisition infrastructure consolidation

Join Opiniion's dynamic development team and contribute your skills to build innovative solutions. If you are a passionate Data Architect seeking a challenging and collaborative environment, we'd love to hear from you!
OPINIION'S CULTURE:
At Opiniion, we take our work seriously, but we don't take ourselves too seriously! We work hard together, and we have a lot of fun doing it. We are a team that believes in real autonomy: you own your area, solve problems, and move fast enough to actually see the change you make. The people here are invested in each other just as much as they're invested in the work, and that combination is what makes this place different. We believe in collaboration, innovation, and building a team that truly cares-about our clients, their residents, and each other.
BENEFITS SNAPSHOT:
  • Comprehensive healthcare plans, encompassing medical, dental, and vision insurance, along with group life coverage. Opiniion covers 40-90% of the premium cost for employees and all dependents.
  • 401(k) retirement plan with a 100% corporate match on the first 1% and 50% match on the next 5%.
  • Pre-tax Health Savings Accounts (HSA).
  • Paid Parental Leave for all new parents (including adoption or foster care).
  • Unlimited Time Off policies.
  • 10 Paid Holidays annually.
  • Monthly Wellness Reimbursement benefit.

*Note that the above benefits are available only to full-time employees of Opiniion*
Opiniion is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.