Senior Data Architect – Denver International Airport
About The Position
The Senior Data Architect will lead the design and advancement of Denver International Airport’s modern data ecosystem using Microsoft Fabric and cloud-scale analytics. The role shapes how data is captured, integrated, modeled, and governed to support enterprise reporting, advanced analytics, and AI initiatives. The architect collaborates with business partners and technical teams to deliver clean, trusted, well-structured data assets; guides organizational best practices; and mentors team members while advancing a scalable, future-ready data architecture. The position develops and maintains complex enterprise data models and integrations in Microsoft Fabric; designs ingestion, cleansing, standardization, storage, and dimensional-modeling solutions across bronze, silver, and gold data layers; and leads enterprise data acquisition, migration, integration, and ETL/ELT solutions. It uses OneLake as the data foundation and Fabric pipelines, notebooks, Python/PySpark, Spark SQL, and other Fabric-native capabilities to connect and process enterprise sources. The role also defines data architecture standards and review processes, manages governance with Microsoft Purview, and partners with business groups to translate data needs into architecture solutions that support reporting and analytics. The role is based at Denver International Airport in a hybrid workplace. Employees work on site at least two days per week and may work off site as needed, but must remain within Colorado on off-site days. An FBI criminal background check is required. Employees must report felony convictions and moving violations to maintain airport clearance. Depending on the position, a pre-employment physical or drug test may be required. DEN employees may be required to work extended hours or shifts during weather events or emergencies.
Requirements
- Bachelor’s degree in Computer Science, Computer Information Systems, Business Administration, Mathematics, or a related field, or an applicable education/experience substitution.
- Three years of professional information technology experience developing and maintaining enterprise-wide data architecture, including two years at the type and level of an Associate Data Architect; applicable education and experience substitutions are permitted.
- Extensive experience in modern cloud-based data engineering, with strong proficiency in Microsoft Fabric or comparable platforms such as Databricks or Snowflake, including data modeling and end-to-end ETL/ELT development.
- Demonstrated ability to mentor junior team members, guide best practices, and contribute to a collaborative engineering culture.
- Ability to translate business needs into scalable data architecture solutions and communicate technical concepts to technical and non-technical stakeholders.
- Strong understanding of enterprise data architecture, data governance, metadata management, and performant, well-structured data ecosystems.
- Hands-on expertise with Python, PySpark, SQL, and other tools used to build ingestion, transformation, and modeling pipelines.
- Valid work authorization that does not require visa sponsorship for employment authorization in the United States.
- Ability to complete the required FBI criminal background check and report felony convictions and moving violations as required to maintain airport clearance.
- Ability to work on site at least two days per week at Denver International Airport and work off site only within Colorado.
- May be required to work extended hours or shifts during weather events or emergencies.
Nice To Haves
- Microsoft Fabric or Azure data certifications are highly desirable but not required.
- Experience with comparable cloud data platforms such as Databricks or Snowflake.
Responsibilities
- Develop and maintain complex enterprise data models and integrations within Microsoft Fabric, aligned with systems and business needs.
- Design and build bronze-layer ingestion solutions to bring raw data into Lakehouses, Warehouses, or Eventhouses using pipelines, notebooks, and streaming technologies.
- Create silver-layer cleansing and standardization solutions using PySpark, SparkSQL, T-SQL, and Fabric-native tools.
- Architect relational storage solutions, including Lakehouse and Warehouse architectures, for scalable, performant, and reliable analytical workloads.
- Build gold-layer dimensional models and analytics-ready datasets for reporting, dashboards, and AI initiatives.
- Lead enterprise data acquisition, migration, integration, and ETL/ELT solutions across Microsoft Fabric, using OneLake and Fabric capabilities to connect and process diverse enterprise data sources.
- Establish scalable, reusable, secure, and maintainable ingestion and transformation patterns.
- Define and evolve enterprise data architecture standards, practices, and review processes across the Microsoft data estate.
- Establish and manage enterprise data governance using Microsoft Purview, including transparency, lineage, quality, and consistent data definitions.
- Provide technical leadership and guidance, mentor junior staff, and advise teams and stakeholders on data modeling, architecture, and platform best practices.
- Partner with business groups to understand data needs, translate requirements into architecture solutions, and ensure curated data assets support reporting and analytics.
Benefits
- Competitive pay; new hires are typically brought in between $105,000 and $150,000 per year.
- Guaranteed lifelong monthly pension after vesting following five years of service.
- 457B Retirement Plan.
- 140 hours of PTO earned within the first year.
- 12 paid holidays, one personal holiday, one wellness day, and one volunteer day per year.
- Competitive medical, dental, and vision plans effective within one month of start date.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
