Senior Data Solutions Architect

Boeing • Berkeley, MO

1d • Onsite

About The Position

Senior Data Solutions Architect Company: The Boeing Company The Boeing Company People Analytics organization is looking for a highly experienced and detail-oriented Senior Data Solutions Architect to join the team in Seattle, WA; Arlington, VA; Berkeley, MO; Chicago, IL or North Charleston, SC. This Architect is a highly motivated individual with a strong passion for solving complex problems and challenges. They are driven and will have a passion for building large-scale software systems.

Requirements

• 5+ years of experience building platforms and data products
• 5+ years of experience working with data and data warehousing business solutions
• 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
• 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
• Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
• Experience with Artificial Intelligence (AI) hardware and software integration
• Experience with C++, Python and Java

Nice To Haves

• Experience in Human Resources
• Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling
• Experience with Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Windows Server
• Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
• Experience with Cloud technologies and/or Cloud-native app development and microservices

Responsibilities

• Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival)
• Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services
• Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems)
• Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business
• Complete data modelling for acquisition and database implementation collaborating with different stakeholders
• Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
• Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists
• Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs)
• Analyze and manage complex data
• Guide other data and analytics professionals on data standards and practices
• Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
• Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments
• Leverage automation extensively for scalability, repeatability, and reuse

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed