Hybrid Mid-Level Data Solution Architect

Posted 2 months ago

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About the role

  • Designs, develops, maintains and optimizes internal company data architecture for multiple, complex databases / data warehouses required to operate the business
  • Oversees completion of data modelling for acquisition and database implementation collaborating with different stakeholders
  • Applies data extraction, transformation and loading techniques to connect large data sets from a variety of sources
  • Guides the creation of data collection frameworks for structured and unstructured data and solves highly complex data problems to generate features required by data scientists
  • Develops and maintains highly complex infrastructure systems (e.g., data warehouses, data lakes) including data access APIs
  • Reviews analysis and management of complex data and provides consultation to other data and analytics professionals on data standards and practices
  • Fosters a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
  • Oversees build of repeatable data pipelines across multi- and hybrid-cloud environments of high complexity
  • Provides consultation on leveraging Automation & CI/CD extensively for scalability, repeatability, and reuse

Requirements

  • 3+ years of experience building platforms and data products
  • 1+ years of experience working with data and data warehousing business solutions
  • 1+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
  • 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
  • Preferred: A Bachelor of Science or higher from an accredited institution in Software Engineering, Computer Science, Computer Engineering or other technical degree
  • Preferred: Experience with DevOps/DevSecOps and CI/CD practices, Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Windows Server
  • Preferred: Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
  • Preferred: Experience with Cloud technologies and/or Cloud-native app development and microservices
  • Employer will not sponsor applicants for employment visa status
  • Drug Free Workplace: post-offer applicants and employees are subject to testing for substances when criteria is met
  • Relocation assistance is not a negotiable benefit for this position
  • Language Requirements: Not Applicable

Benefits

  • competitive base pay and variable compensation opportunities
  • opportunity to enroll in a variety of benefit programs
  • health insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life and disability insurance programs
  • paid and unpaid time away from work
  • Total Rewards package

Job title

Mid-Level Data Solution Architect

Job type

Experience level

Mid levelSenior

Salary

$106,250 - $154,100 per year

Degree requirement

No Education Requirement

Location requirements

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