The Boeing Company
AssociateDataSolutionsArchitect
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“Associate Data Solutions Architect at The Boeing Company. Skills: Data Engineering, ETL/ELT, Cloud Data Platforms, Data Pipelines. Implement ETL/ELT pipelines. Test ETL/ELT pipelines”
Industry & Context.
Troubleshoot failures; Incident response; Root cause analysis
U. S. Person required
What They're Looking For.
Must Have
1+ years of experience building data pipelines, 1+ years of experience with SQL, Experience designing queries, Experience with scripting languages, Experience with orchestration tools, Experience with relational databases, Experience with cloud data service, Experience with data quality concepts, Experience with basic data governance, Experience with logging/monitoring concepts
Nice to Have
Bachelor’s degree in Computer Science, 3+ years of experience with data engineering, Experience with troubleshooting skills, Experience with cloud platforms GCP, Experience with cloud platforms AWS, Experience building streaming pipelines, Experience building near-real-time pipelines, Experience building ETL data pipelines, Experience with infrastructure-as-code tooling, Experience with CI/CD practices, Experience implementing data cataloging tools, Experience implementing data lineage tools, Experience implementing data quality frameworks, Experience with containerization, Experience deploying microservices, Experience deploying data jobs on Kubernetes, Experience tuning for SQL, Experience tuning data processing jobs, Experience working in supply chain, Experience working in manufacturing, Experience working in aerospace
What You'll Do.
Implement ETL/ELT pipelines
Test ETL/ELT pipelines
Maintain ETL/ELT pipelines
Ingest data from on-prem systems
Ingest data from cloud sources
Develop data transformations
Support reporting workloads
Support analytics workloads
Support Machine Learning workloads
Build batch data workflows
Maintain batch data workflows
Build streaming data workflows
Maintain streaming data workflows
Work with on-prem technologies
Work with cloud services
Collaborate with data owners
Identify data quality issues
Implement data validation rules
Implement data cleansing rules
Design data cataloging
Implement data cataloging
Implement data lineage
Design basic governance controls
Implement basic governance controls
Monitor pipeline health
Troubleshoot pipeline failures
Implement pipeline alerts
Implement automated retries
Contribute to infrastructure-as-code
Produce technical documentation
Support production handover
Support incident response
Support post-incident retrospectives
How You'll Work.
Team & Collaboration
Partner with analysts; Partner with data scientists; Partner with product specialists; Partner with platform engineers
Communication Scope
Technical documentation; Runbooks
Process & Methodology
CI/CD, Infrastructure-as-code
Full Job Description
Associate Data Solutions Architect **Company:** The Boeing Company The Boeing Company is currently seeking an **Associate Data Solutions Architect** to join the team in **Seattle,** **WA; Hazelwood, MO; Berkeley, MO;** or**Dallas, TX.** The Data Solutions Architect will help design, build, and operate data pipelines and workloads across on-prem and cloud platforms (Google Cloud Platform (GCP) and Amazon Web Services (AWS)). The role partners with data and Business Intelligence (BI) analysts, data scientists, product specialists, and platform engineers to enable reliable, scalable ingestion, transformation, and serving of data for analytics and Artificial Intelligence (AI) use cases in supply chain. **Position Responsibilities:** * Implement, test, and maintain Extract, Transform, Load/Extract, Load Transform (ETL/ELT) pipelines to ingest data from on-prem systems and cloud sources into data lakes/warehouses * Develop data transformations and data models to support reporting, analytics, and Machine Learning (ML) workloads * Build and maintain batch and streaming data workflows using orchestration tools (Airflow, Cloud Composer, Prefect, etc.) and data integration platforms (Informatica, Talend, Fivetran, etc.) * Work with on-prem technologies (databases, file shares, middleware) and cloud services (BigQuery, Redshift, Cloud Storage, S3, Dataflow, Glue) to move and transform data * Collaborate with data owners to profile data, identify quality issues, and implement data validation and cleansing rules * Design and implement data cataloging, lineage, and basic governance controls for datasets * Monitor pipeline health, troubleshoot failures, and implement alerts and automated retries * Contribute to Continuous Integration and Continuous Delivery (CI/CD) for data pipelines and infrastructure-as-code patterns (Terraform, Cloud Deployment Manager, etc.) * Produce clear technical documentation and runbooks for operational support and handoffs * Support production handover,
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