Onsite Senior Data Solutions Architect

Posted 3 days ago

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About the role

  • Senior Data Solutions Architect responsible for designing end-to-end cloud data platform architecture for Boeing's HR data. Leading data ingestion strategies and analytics solutions tailored for complex business needs.

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

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

Benefits

  • health insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life and disability insurance programs
  • paid time off

Job title

Senior Data Solutions Architect

Job type

Experience level

Senior

Salary

$172,550 - $250,000 per year

Degree requirement

No Education Requirement

Location requirements

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