About this Data Architect - Draper, UT (In-Office Position) role at MarketStar
About This Role
As PDK continues to grow, the amount of data generated across our systems, products, and operations is increasing rapidly. Turning that data into reliable insights requires a modern, scalable data platform.
We are looking for an experienced Data Architect to help design and build the systems that power analytics across the company. In this role, you will transform raw operational data into well-structured datasets that enable reporting, product insights, and better decision-making.
You’ll work closely with our engineering and analytics teams to build robust pipelines, define warehouse models, and ensure our data platform is reliable, scalable, and built for the future.
If you enjoy solving data infrastructure problems and building systems that enable an entire organization to move faster with data, this role is for you.
What You’ll Build
As a Data Architect at PDK, you will help design and maintain the core systems that move, transform, and organize data across the company.
This includes:
Designing, building, and maintaining scalable data pipelines that ingest unstructured event data from internal product and engineering databases into our Snowflake data warehouse
Designing data models and schemas that support analytics and reporting
Developing ETL/ELT workflows using Python, Airflow, and Fivetran
Ensuring data pipelines are reliable, observable, and well-tested
Maintaining and optimizing our Snowflake data warehouse
Integrating new data sources across product, operations, and business systems
Improving data quality, documentation, and governance across the platform
Your work will directly support teams across the company by ensuring the data they rely on is accurate, accessible, and scalable.
Our Data Stack
Our data platform uses a modern cloud data stack, including:
Snowflake for our data warehouse
Google Cloud Platform (GCP) for storage and data services
Airflow for pipeline orchestration
Fivetran for data ingestion
dbt for transformations and modeling
Python and SQL for pipeline and transformation logic
GitHub for version control and collaboration
You will play an important role in evolving this platform and improving how we build and operate data systems. You do not need experience with every tool listed here to apply. If you have strong fundamentals in data engineering and cloud platforms, we encourage you to apply.
Qualifications
Applicants must be legally authorized to work in the United States.
We are not able to provide sponsorship for employment visa status now or in the future.
This position does not offer relocation assistance; candidates must be located locally or able to relocate at their own expense prior to the start date.
What We're Looking For
3–5 years of experience in a Data Engineer, Software Engineer, or similar role
Bachelor’s degree or equivalent in the field of Computer Science, Statistics, Information Technology, or related field
Strong experience with SQL, Javascript/Typescript and Python
Experience analyzing, managing, and organizing unstructured data from a variety of platforms
Experience working with and managing modern cloud data warehouses such as Snowflake
Experience building pipelines using Airflow or similar orchestration tools
Experience working with cloud platforms such as GCP, AWS, or Azure
Strong understanding of data modeling and ETL/ELT practices
Experience integrating data from systems such as relational databases, APIs, or event streams
A focus on data reliability, testing, and maintainability
Strong communication skills and ability to collaborate across teams
Nice to Have
Experience in a first Data Engineer / greenfield data infrastructure role, comfortable making architectural decisions without established precedent
Familiarity with access control, physical security, or IoT/device event data, understanding of time-series event data and device telemetry is a plus
Experience using dbt for data transformation and modeling
Familiarity with event-driven or message-based systems (RabbitMQ, Pub/Sub, Kafka, etc.)
Experience working with BI tools such as Tableau or Power BI
Why Data Professionals Like Working at PDK
You will hold a high-impact, foundational role where your work will directly shape the company's data capabilities
Your work will have visible impact across the organization
You’ll collaborate with engineers, analysts, and product teams
You’ll help establish data engineering standards and best practices
Compensation & Benefits
Competitive salary based on experience
Comprehensive medical, dental, and vision coverage
401(k) with company match
3 weeks PTO annually
Paid company holidays
Health Saving Account
Pay Rate Type
Salary, Full Time Position
Location
This position is an in-person, non-remote role working from PDK's office located in Draper, UT.
About ProdataKey
ProdataKey (PDK) is a leading innovator in commercial access control. Our intuitive, cloud-based solutions protect life and property across thousands of facilities every day. For 10 consecutive years, PDK has been recognized among Utah’s Top 100 fastest-growing companies.
Pay Rate Type:
SalaryIf you're looking for a career with a growing company where you are part of a team dedicated to making a difference, you'll enjoy your career with us!
