Data Architect - Draper, UT (In-Office Position)

Wasatch Property Management, Inc.

United States

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Comprehensive medical, dental, and vision coverage

401(k) with company match

3 weeks PTO annually

Paid company holidays

Health Saving Account

Job summary

Wasatch Property Management, Inc. is seeking an experienced Data Architect to design and build data systems supporting analytics across the organization. This in-person role, based in Draper, UT, involves transforming raw data into structured datasets and maintaining scalable data pipelines using tools like Snowflake and Airflow.

Applicants should have 3-5 years of relevant experience, a Bachelor's degree, and strong skills in SQL and Python. Benefits include competitive salary, medical coverage, 401(k), and PTO.

Qualifications

3–5 years of experience in a Data Engineer or similar role.
Strong understanding of data reliability, testing, and maintainability.
Experience analyzing and managing unstructured data.

Responsibilities

Design and build scalable data pipelines.
Create data models that support analytics and reporting.
Maintain and optimize the Snowflake data warehouse.

Skills

SQL

Python

Data Modeling

ETL/ELT Practices

JavaScript/TypeScript

Cloud Platforms (GCP/AWS/Azure)

Education

Bachelor’s degree in Computer Science, Statistics, or related field

Tools

Snowflake

Airflow

Fivetran

GitHub

Job description

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

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

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 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 and help establish data engineering standards and best practices.

Compensation & Benefits