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Cloud Solution Architect - Platform Operations Lead

  • [Location]
    • Remote
    • Warren, Michigan
  • 日程 Full time
  • 发表

描述

The Role:

General Motors is a forward-thinking organization dedicated to harnessing the power of data to drive business growth and innovation. We are looking for an accomplished Lead Architect with a strong background in creating data assets, developing data products, and a robust release management practice that allows GM to implement machine learning models. As a pivotal member of our technology leadership team, you will play a key role in shaping our data architecture strategy and ensuring the successful delivery of insights that contribute to the organization's financial success.

This role focuses on the day to day Operations of the GM "Insight Factory" - including End to End health of the data ecosystem.

What You'll Do:     
 

Data Architecture and Strategy:  

  • Lead the development and execution of the overall data architecture strategy. (Azure based with Databricks at this time)
  • Design and implement robust data assets, ensuring scalability, reliability, and performance.
  • Add functionality/expand the limits of functionality of GitHub Enterprise, GitHub Actions, Git Flow (including CoPilot)
  • Build additional functionality into the existing CICD to produce reliable release artifacts that allow us to control the quality of code in our environment.
  • Work closely with the Operations Lead to implement APM that allows for the creation and monitoring of “End to End” timing charts – every step and no step missed.
  • Work with Infra Leads to implement deployment isolation and release best practices to ensure smooth, frequent releases with appropriate rollback.


Data Product and ML Model and Application Development:  

  • Oversee the creation of data products that leverage the organization's data assets. 
  • Lead the development and deployment of machine learning models that enhance decision-making processes
  • Leverage our existing stack – including ML Flow - to implement ML Ops and create a model registry.
  • Develop approach to support Dev,Test,PreProd and Prod environment release process.


Integration with Dashboards and Applications:  

  • Collaborate with cross-functional teams to integrate data assets, data products, and ML models into dashboards and applications. 
  • Ensure seamless interaction between data components and front-end applications. 


Insight Generation and Monetization:  

  • Play a pivotal role in generating actionable insights from data products and ML models. 
  • Work closely with business stakeholders to identify opportunities for monetizing data assets and insights. 


Hands-on Leadership:  

  • Be hands-on with the creation and implementation of data assets, data products, and ML models. 
  • Mentor and guide a team of skilled professionals in adopting best practices and achieving project goals. 


Continuous Innovation:  

  • Stay abreast of emerging trends and technologies in data architecture, machine learning, and analytics. 
  • Drive continuous innovation in the development of data assets and ML models. 

Your Skills & Abilities (Required Qualifications):

  • Proven experience as a Lead Architect with a focus on creating data assets, developing data products, and implementing ML models. 
  • 1.5 years of operating experience with Cloud Based Production AI/ML/Data Systems. 
  • Proven ability to create an end to end Threat Analysis with a Threat Modeling tool. 
  • Experience in creating key rotation automation. 
  •  Experience running the security perimeter of Azure app services or equivalent. 
  • Ability to create complete Architecture Diagrams in Lucid or Visio - for review by Enterprise Architecture Review Board. 
  • Experience creating end to end Data Flow Diagrams. 
  •  Experience with running various caching approaches to achieve sub 200MS response times. 
  • Direct experience instrumenting "every hop" in a data ecosystem via Healthcheck heartbeat monitors that are API ready and can be rolled up into a single pane of glass health dashboard. 
  • Requirements/Tools: Azure, Databricks, CICD, APM, Hands on keyboard capability - Python preferred
  • Strong understanding of data architecture principles, including data modeling, ETL processes, and data warehousing. 
  • Experience with machine learning frameworks and tools, with a track record of successful model development and deployment. 
  • Proficiency in integrating data assets with dashboards and applications to deliver actionable insights. 
  • Excellent leadership and communication skills, with the ability to collaborate with technical and non-technical stakeholders. 
  • Demonstrated success in driving projects that contribute to organizational revenue. 
  • Bachelor’s degree in Computer Science, Information Technology, or a related field; Advanced degree or relevant certifications in data architecture, machine learning, or related areas is highly desirable. 

[Additional Description]

This role is based remotely but if you live within a 50-mile radius of Warren, MI, you are expected to report to that location three times a week, at minimum.

This job is not eligible for relocation benefits.  Any relocation costs would be the responsibility of the selected candidate.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse Careers.Accommodations@GM.com ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.