GCP Data Architect

Stefanini Group • Dearborn, MI

3d • Onsite

About The Position

Stefanini Group is hiring! Stefanini is looking for a GCP Data Architect in Dearborn, MI (Onsite) For quick apply, please reach out to Saurabh Kapoor at 248-582-6559/[e-mail] We are seeking a highly skilled Data Architect to join our team. This role is uniquely suited for professionals who bring a strong foundation in data engineering and hands-on programming, complemented by meaningful exposure to data architecture practices for analytics systems. While this is posted as a Data Architect role, hands-on data engineering and programming skills are the primary focus. Candidates with a strong data engineering background and meaningful exposure to data architecture concepts and practices are strongly preferred over candidates with architecture experience alone. Responsibilities This is a highly technical, hands-on position that requires both strategic thinking and the ability to write production-quality code. The ability to build, optimize, and deliver working data systems is weighted more heavily than formal architecture credentials. Bridge the gap between enterprise architecture thinking and hands-on data engineering execution. Expected to design scalable, governed data systems while remaining deeply involved in building and optimizing the pipelines, models, and transformation layers that power large-scale analytics and operational use cases. Details: Experience Required Atleast 6+ years of experience in Data Engineering Build and maintain data pipelines on Google Cloud Platform (GCP) using Dataflow for batch and/or streaming processing workflows Develop and maintain robust data transformation layers using Dataform and/or dbt, following best practices in modeling, testing, documentation, and deployment patterns Design end-to-end enterprise data architectures for large-scale analytics and operational use cases, ensuring scalability, reliability, and governance Translate complex business requirements into conceptual, logical, and physical data models that align with organizational goals and technical constraints Apply deep BigQuery expertise including schema design, partitioning and clustering strategies, and continuous cost and performance optimization Write complex SQL transformations and analytics queries across large-scale datasets with a high degree of accuracy and performance awareness Leverage programming skills (Python, Java, Scala, or equivalent) to support automation, pipeline logic, orchestration, and data utility development Utilize enterprise data modeling tools such as SAP PowerDesigner and/or ERwin to produce well-documented, standards-compliant data models Collaborate within CI/CD and Git-based workflows, including branching strategies, peer code reviews, automated testing, and managed deployments for data and analytics engineering Skills Required Coding, Programming, GCP, Software Development, Data Architecture, Data/Analytics, Big Query, Application Development, Application Architect, Data Modeling, Application Design Education Required Bachelor's Degree Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company. #LI-SK2 #LI-ONSITE

Requirements

• Atleast 6+ years of experience in Data Engineering
• Build and maintain data pipelines on Google Cloud Platform (GCP) using Dataflow for batch and/or streaming processing workflows
• Develop and maintain robust data transformation layers using Dataform and/or dbt, following best practices in modeling, testing, documentation, and deployment patterns
• Design end-to-end enterprise data architectures for large-scale analytics and operational use cases, ensuring scalability, reliability, and governance
• Translate complex business requirements into conceptual, logical, and physical data models that align with organizational goals and technical constraints
• Apply deep BigQuery expertise including schema design, partitioning and clustering strategies, and continuous cost and performance optimization
• Write complex SQL transformations and analytics queries across large-scale datasets with a high degree of accuracy and performance awareness
• Leverage programming skills (Python, Java, Scala, or equivalent) to support automation, pipeline logic, orchestration, and data utility development
• Utilize enterprise data modeling tools such as SAP PowerDesigner and/or ERwin to produce well-documented, standards-compliant data models
• Collaborate within CI/CD and Git-based workflows, including branching strategies, peer code reviews, automated testing, and managed deployments for data and analytics engineering
• Coding
• Programming
• GCP
• Software Development
• Data Architecture
• Data/Analytics
• Big Query
• Application Development
• Application Architect
• Data Modeling
• Application Design

Responsibilities

• Bridge the gap between enterprise architecture thinking and hands-on data engineering execution.
• Expected to design scalable, governed data systems while remaining deeply involved in building and optimizing the pipelines, models, and transformation layers that power large-scale analytics and operational use cases.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level