ManpowerGroup Global, Inc.
Lead Data Platform Architect
ManpowerGroup Global, Inc., Nashville, Tennessee, United States, 37247
Job Title
Lead Data Platform Architect
Location Melville, NY or Davidson, NC preferred, open to remote
Job Type W2 contract; potential to convert FTE
Brief Position Summary We are growing our data platform team and are seeking an experienced Data Platform Architect with deep cloud data platform expertise to drive the overall architecture and design of a modern, scalable data platform. This role is responsible for defining and advancing data platform architecture to support a data‑driven organization, ensuring solutions are efficient, reusable, and aligned with long‑term business and technology objectives.
Duties and Responsibilities
Lead technical assessments of the current data platform and define the architectural roadmap forward
Collaborate on strategic direction and prioritize data platform architecture to support business and technical objectives
Partner with enterprise and solution architects to ensure consistent standards and best practices across the data platform
Architect and design end‑to‑end data platform solutions on cloud infrastructure, emphasizing scalability, performance, and reusable design patterns
Design cloud‑first, cost‑effective data platform architectures
Architect batch, real‑time, and unstructured ingestion frameworks with scale and reliability
Enable semantic interoperability of data across multiple sources and structures
Implement automation for lineage, orchestration, and data flows to streamline platform operations
Design and maintain metadata management frameworks to support current and future tools
Continually enhance automation and CI/CD frameworks across the data platform
Architect solutions with security‑by‑design principles
Monitor industry trends and emerging technologies to continuously improve the data platform architecture
Provide technical leadership and guidance to data platform engineers executing against the roadmap
Own and maintain data platform architecture documentation
Support a wide range of data platform use cases, including data engineering, business intelligence, real‑time analytics, visualization, AI/ML, and service integrations
Collaborate with third‑party vendors and partners on data platform integrations
Education and Experience
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field required
Minimum of 10 years of experience designing high‑availability data platform architectures
Minimum of 8 years of experience implementing modern cloud‑based data platforms
Strong experience with Google Cloud Platform services, including BigQuery, Google Cloud Storage, and Cloud Composer
Minimum of 5 years of experience designing data lake architectures
Deep expertise across modern data platform, database, and streaming technologies (e.g., Kafka, Spark)
Experience with source control and CI/CD pipelines
Experience operationalizing AI/ML models preferred
Experience working with unstructured data preferred
Experience operating within Agile delivery models
Minimum of 3 years of experience with infrastructure as code (Terraform preferred)
Required Technical Experience
Hands‑on experience designing and operating data platforms on Google Cloud Platform (GCP)
Strong experience with Databricks for large‑scale data processing and analytics
Experience integrating data from IoT devices and machine monitoring systems is highly preferred
Familiarity with industrial, sensor‑based, or operational technology (OT) data pipelines is a plus
Skills
Strong cross‑functional communication and collaboration skills
Excellent organizational, time management, verbal, and written communication skills
Expertise across modern data platform technologies and best practices (BigQuery, Kafka, Hadoop, Spark)
Strong understanding of semantic layers and data interoperability (e.g., LookML, dbt)
Proven ability to design reusable, automated data platform patterns
Demonstrated leadership in distributed or remote environments
Track record of delivering data platform solutions at enterprise scale
Ability to write testable code and promote solutions into production environments
Experience with Google Cloud Composer or Apache Airflow preferredAbility to quickly understand complex business systems and data flows
Strong analytical judgment and decision‑making capabilities
Other Requirements
Ability to travel up to 10 percent as required
This role may require access to regulated or controlled information
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Location Melville, NY or Davidson, NC preferred, open to remote
Job Type W2 contract; potential to convert FTE
Brief Position Summary We are growing our data platform team and are seeking an experienced Data Platform Architect with deep cloud data platform expertise to drive the overall architecture and design of a modern, scalable data platform. This role is responsible for defining and advancing data platform architecture to support a data‑driven organization, ensuring solutions are efficient, reusable, and aligned with long‑term business and technology objectives.
Duties and Responsibilities
Lead technical assessments of the current data platform and define the architectural roadmap forward
Collaborate on strategic direction and prioritize data platform architecture to support business and technical objectives
Partner with enterprise and solution architects to ensure consistent standards and best practices across the data platform
Architect and design end‑to‑end data platform solutions on cloud infrastructure, emphasizing scalability, performance, and reusable design patterns
Design cloud‑first, cost‑effective data platform architectures
Architect batch, real‑time, and unstructured ingestion frameworks with scale and reliability
Enable semantic interoperability of data across multiple sources and structures
Implement automation for lineage, orchestration, and data flows to streamline platform operations
Design and maintain metadata management frameworks to support current and future tools
Continually enhance automation and CI/CD frameworks across the data platform
Architect solutions with security‑by‑design principles
Monitor industry trends and emerging technologies to continuously improve the data platform architecture
Provide technical leadership and guidance to data platform engineers executing against the roadmap
Own and maintain data platform architecture documentation
Support a wide range of data platform use cases, including data engineering, business intelligence, real‑time analytics, visualization, AI/ML, and service integrations
Collaborate with third‑party vendors and partners on data platform integrations
Education and Experience
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field required
Minimum of 10 years of experience designing high‑availability data platform architectures
Minimum of 8 years of experience implementing modern cloud‑based data platforms
Strong experience with Google Cloud Platform services, including BigQuery, Google Cloud Storage, and Cloud Composer
Minimum of 5 years of experience designing data lake architectures
Deep expertise across modern data platform, database, and streaming technologies (e.g., Kafka, Spark)
Experience with source control and CI/CD pipelines
Experience operationalizing AI/ML models preferred
Experience working with unstructured data preferred
Experience operating within Agile delivery models
Minimum of 3 years of experience with infrastructure as code (Terraform preferred)
Required Technical Experience
Hands‑on experience designing and operating data platforms on Google Cloud Platform (GCP)
Strong experience with Databricks for large‑scale data processing and analytics
Experience integrating data from IoT devices and machine monitoring systems is highly preferred
Familiarity with industrial, sensor‑based, or operational technology (OT) data pipelines is a plus
Skills
Strong cross‑functional communication and collaboration skills
Excellent organizational, time management, verbal, and written communication skills
Expertise across modern data platform technologies and best practices (BigQuery, Kafka, Hadoop, Spark)
Strong understanding of semantic layers and data interoperability (e.g., LookML, dbt)
Proven ability to design reusable, automated data platform patterns
Demonstrated leadership in distributed or remote environments
Track record of delivering data platform solutions at enterprise scale
Ability to write testable code and promote solutions into production environments
Experience with Google Cloud Composer or Apache Airflow preferredAbility to quickly understand complex business systems and data flows
Strong analytical judgment and decision‑making capabilities
Other Requirements
Ability to travel up to 10 percent as required
This role may require access to regulated or controlled information
#J-18808-Ljbffr