Computing Architect 4

Boeing; Seattle (WA); On-site; USD 107,000 - 114,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401K

Job summary

Boeing Information Digital Technology & Security is seeking a Senior Data Architect to join the Performance Training Analytics (PTA) team in Seattle, WA. This contract role involves designing and governing the Unified Data Model, datalake transformations, and CI/CD for Databricks, with collaboration across time zones including India.

You will lead data modeling efforts, set governance rules, and translate business requirements into scalable data solutions that support CBTA-based training

Qualifications

• 9+ years of experience in data architecture, data modeling, or related data engineering roles.
• Proven experience designing and implementing Unified Data Models (UDM).
• Strong expertise in SQL.
• Strong expertise in data modeling across raw/ingest, transformed, curated layers and defining transformation logic.
• Deep understanding of data governance, data lineage, metadata management, and data quality concepts.
• Demonstrated experience with Databricks and building/architecting datalake solutions.
• Experience defining schema evolution processes, new attribute definitions, and backward-compatible changes.
• Experience authoring route tables, processing rules, and data routing/ingestion patterns.
• Experience collaborating with geographically distributed engineering teams and willingness to work off hours to coordinate with teams in India.
• Strong communication, documentation, and stakeholder engagement skills.

Responsibilities

• Design, document, and maintain the Unified Data Model (UDM) artifacts and mappings.
• Model process layers in the datalake, defining transformation responsibilities and lineage across layers.
• Define and enforce rules for data processing, including routing tables, validation rules, enrichment logic, and error-handling policies.
• Author and maintain schema definitions, attribute dictionaries, and change management processes for schema evolution.
• Translate business and source system requirements into data transformation specifications for Azure Databricks and downstream systems.
• Collaborate with data engineers to design performant transformations, partitioning, and storage strategies in the datalake.
• Review and approve data pipeline designs, ensuring adherence to UDM, governance, and security policies.
• Work with DevOps and engineering teams to operationalize CI/CD for Databricks notebooks, jobs, and infrastructure-as-code.
• Provide technical leadership and mentorship to data engineering teams, including remote collaboration with engineers located in India; coordinate design, implementation, and delivery across time zones (may require off-hour work).
• Establish data quality metrics, monitoring, and remediation guidance; ensure traceability and lineage from source to consumption.
• Participate in architecture and design reviews, code reviews, and agile ceremonies; drive best practices for data modeling and transformation.
• Communicate architecture decisions and trade-offs to stakeholders, product owners, and engineering teams.

Skills

UDM

Data lakehouse

BI understanding

Education

Bachelor’s or advanced degree in Computer Science or related field

Tools

Azure Data Factory

Delta Lake

Unity Catalog

Terraform

Azure DevOps

GitOps

Job description

This posting is for a contract assignment and is not a full-time employment offer with Boeing. Candidates selected for roles will be employed as contract workers through a Boeing approved 3rd party for the duration of the specified project.

Job Description Qualifications:

Boeing Information Digital Technology & Security is seeking a Senior Data Architect to join the Performance Training Analytics (PTA) application team, supporting the Boeing Global Services Training Solutions organization. This position is based out of Seattle, WA. Be part of a high performing software engineering organization focused on transforming the aviation training industry through Competency Based Training and Assessment (CBTA) digital solutions.

Position Responsibilities:

• Design, document, and maintain the Unified Data Model (UDM) artifacts and mappings.
• Model process layers in the datalake, defining transformation responsibilities and lineage across layers.
• Define and enforce rules for data processing, including routing tables, validation rules, enrichment logic, and error-handling policies.
• Author and maintain schema definitions, attribute dictionaries, and change management processes for schema evolution.
• Translate business and source system requirements into data transformation specifications to be implemented in Azure Databricks and downstream systems.
• Collaborate with data engineers to design performant transformations, partitioning, and storage strategies in the datalake.
• Review and approve data pipeline designs, ensuring adherence to UDM, governance, and security policies.
• Work with DevOps and engineering teams to operationalize CI/CD for Databricks notebooks, jobs, and infrastructure-as-code.
• Provide technical leadership and mentorship to data engineering teams, including remote collaboration with engineers located in India; coordinate design, implementation, and delivery across time zones (may require off-hour work).
• Establish data quality metrics, monitoring, and remediation guidance; ensure traceability and lineage from source to consumption.
• Participate in architecture and design reviews, code reviews, and agile ceremonies; drive best practices for data modeling and transformation.
• Communicate architecture decisions and trade-offs to stakeholders, product owners, and engineering teams.

Describe the project/day-to-day activities they will be working on:

Designing, improving, communicating, and managing data and data models for training analytics application.

What are the Top 3-5 Technical/Software Skills needed to perform this role/job?:

• Unified Data Model (UDM)
• Data lakehouse concepts
• Business intelligence analytical understanding

Basic Qualifications (Required Skill/Experience):

• 9+ years of experience in data architecture, data modeling, or related data engineering roles.
• Proven experience designing and implementing Unified Data Models (UDM).
• Strong expertise in Structured Query Language (SQL)
• Strong expertise in data modeling across multiple process layers (raw/ingest, transformed, curated) and defining transformation logic.
• Deep understanding of data governance, data lineage, metadata management, and data quality concepts.
• Demonstrated experience with Databricks and building/architecting datalake solutions.
• Experience defining schema evolution processes, new attribute definitions, and backward-compatible changes.
• Experience authoring route tables, processing rules, and data routing/ingestion patterns.
• Experience collaborating with geographically distributed engineering teams and willingness to work off hours to coordinate with teams in India.
• Strong communication, documentation, and stakeholder engagement skills.

Preferred Qualifications (Desired Skills/Experience):

• Prior experience in aviation, training analytics, or related operational data domains.
• Experience with Azure Data Factory, Delta Lake, Unity Catalog, or equivalent data governance tools.
• Familiarity with infrastructure-as-code and CI/CD practices for data pipelines (Terraform, Azure DevOps, GitOps).
• Knowledge of streaming ingestion patterns, Kafka/Event Hubs, and near-real-time processing.
• Experience with metadata platforms and data catalog tools (e.g., Purview, Alation).
• Experience with containerization and orchestration (Docker, Kubernetes) is a plus.
• Bachelor’s or advanced degree in Computer Science, Information Systems, Engineering, or related field.

Pay Rate Range

Min Pay Rate $78

Max Pay Rate $83

Currency USD

Unit hourly

Benefits Information

• Optional Benefits: Medical, Dental, Vision, 401K

Tundra Technical Solutions is among North America's leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.