Lead Data Platform Architect jobs in United States
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Experis · 1 week ago

Lead Data Platform Architect

Experis is seeking an experienced Data Platform Architect to drive the architecture and design of a modern, scalable data platform. This role involves defining and advancing data platform architecture to support a data-driven organization and ensuring solutions are efficient and aligned with business objectives.

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H1B Sponsor Likelynote

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

Qualification

Data Platform ArchitectureGoogle Cloud PlatformData Lake DesignCI/CD PipelinesData EngineeringAI/ML ImplementationKafkaTerraformCross-functional CommunicationAnalytical JudgmentOrganizational SkillsLeadership

Required

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
Hands-on experience designing and operating data platforms on Google Cloud Platform (GCP)
Strong experience with Databricks for large-scale data processing and analytics
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
Ability to quickly understand complex business systems and data flows
Strong analytical judgment and decision-making capabilities
Ability to travel up to 10 percent as required
This role may require access to regulated or controlled information

Preferred

Experience operationalizing AI/ML models
Experience working with unstructured data
Experience operating within Agile delivery models
Minimum of 3 years of experience with infrastructure as code (Terraform preferred)
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
Experience with Google Cloud Composer or Apache Airflow preferred

Company

Experis offers a project-based workforce that accelerates organizations'​ growth, placing specialized experts in mission-critical positions.

H1B Sponsorship

Experis has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (171)
2024 (168)
2023 (176)
2022 (96)
2021 (75)
2020 (109)

Funding

Current Stage
Late Stage

Leadership Team

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Michiel Van Selm
IT Services Leader Europe
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Company data provided by crunchbase