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Databricks Architect Jobs in Utah (NOW HIRING)

Cloud FinOps SME

Lehi, UT · 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 ...

Sr. AI Engineer

Salt Lake City, UT · Hybrid

$118K - $156K/yr

... Azure architecture, including multi-service integration Experience with DynamoDB and scalable storage patterns Strong experience with Databricks for analytics, monitoring, and optimization ...

Sr. AI Engineer

Salt Lake City, UT · On-site

$118K - $156K/yr

... and Azure architecture, including multi-service integration • Experience with DynamoDB and scalable storage patterns • Strong experience with Databricks for analytics, monitoring, and ...

... Databricks. Success in this role means creating a scalable, reliable measurement architecture that enables confident business decisions, supports future platform changes, and provides a durable ...

... Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the ...

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 ...

... Databricks - Utilizing cloud platforms such as AWS and Microsoft Azure - Excelling in data architecture development and data modeling - Implementing data pipeline and data integration strategies ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Showing results 21-40

Databricks Architect information

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 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 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 most commonly searched types of Databricks Architect jobs in Utah? The most popular types of Databricks Architect jobs in Utah are:
What cities in Utah are hiring for Databricks Architect jobs? Cities in Utah with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in Utah as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Manager, Portfolio Analytics Architect

Addepar

Salt Lake City, UT • On-site

Full-time

Posted 26 days ago


Job description

Who We Are
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo.
The Role
A Portfolio Analytics Lead manages a team of Portfolio Analytics Architects. A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end with clients for data conversion projects. As a Portfolio Analytics Lead, you will be responsible for ensuring that your team members complete client deliverables in addition to continuous internal tooling and process improvements to help scale our growing business. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, outstanding communication skills and the ability to deliver results in adherence with project deadlines while meeting high quality standards. They are passionate about understanding our clients needs, take a hands-on approach to solving problems, work collaboratively with internal teams and take ownership of our clients success.
Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.
The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $114,000- $142,000 + bonus + equity + benefits.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.
Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.
What You'll Do
  • Lead a team of Portfolio Analytics Architects, in addition to performing projects as a "player/coach"
  • Ensure the team has proper objectives, goals, and metrics to drive success by meeting Addepar's expectations for productivity, quality, and goal accomplishment
  • Identify and drive opportunities to improve our current processes and tools to better streamline, scale, and automate workflows
  • Develop employees using a performance management process that provides an overall context and framework to encourage employee contribution
  • Provide effective performance feedback through consistent 1:1s, semi-annual performance reviews, and career development planning
  • Plan staffing levels and work with recruiting staff to recruit, interview, select, and hire an appropriate number of employees
  • Coach, mentor, and develop staff, including overseeing new employee onboarding
  • Delegate responsibility and expect accountability and regular feedback from your team
  • Lead the data validation process end-to-end with the client and internal projects teams
  • Develop scalable data analytics processes for validation in Databricks
  • Write custom Python logic to detect large-scale data anomalies and automate remediation
  • Identify and implement AI-driven automation and LLM integrations to streamline implementation
Leadership and Execution
  • Lead internal management and strategic initiatives to grow the Data Analytics practice
  • Amplify the mandate of the team and help execute on the team strategy
  • Partner with other leads to optimize team and process efficiency
  • Lead and mentor the team. Drive prioritization, process, and execution consistency. Hone ability to drive results and manage team performance
  • Prioritize and context-switch effectively to ensure the completion of simultaneous projects
  • Contribute to, drive, and collaborate on best practices to ensure consistent and quality delivery of Data Solutions
  • Occasional travel required
Who You Are
  • Demonstrated leadership and managerial ability with proven success leading client initiatives, teams, and projects.
  • B.S in Finance, Mathematics, Statistics, Business or Economics
  • 2+ years experience working in Technology, Finance, or Consulting
  • Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources
  • Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals
  • Working knowledge of REST APIs
  • Experience with Databricks and/or a cloud-based distributed data platform
  • Solution-oriented approach and a passion for problem solving
  • Proven ability to research, design and implement solutions for complex problems
  • Positive attitude, strong work ethic, proactive and a high contributing team player
  • Independent, adaptable and can thrive in a fast-paced environment
  • Excellent communication and presentation skills, with proficiency in handling client objections
  • [Bonus] Previous experience in investment management software implementations
  • [Bonus] Previous experience with Salesforce

Our Values
  • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
  • Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
  • Champion Our Clients - Exceed client expectations. Our clients' success is our success.
  • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
  • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.