Lead Data Solutions Architect (GCP)

As a GCP Data Architect with 15-24 years of experience, your role will involve maintaining architecture principles, guidelines, and standards. You will lead the Data Engineering team, providing technical direction and architectural guidance. Additionally, you will lead Data Governance practices to ensure data quality, security, and compliance across the organization. Your responsibilities will include: - Strong experience in Big Data - Designing, building, and maintaining scalable data lake and data warehouse in the cloud (GCP) - Architecting, developing, and testing scalable data warehouses and data pipelines architecture in Cloud Technologies (GCP) - Defining the BI/DW architecture to support technical solutions for complex business and technical requirements - Creating solution prototypes, participating in technology selection, performing POCs, and technical presentations - Leading POCs and innovation initiatives on emerging GCP services and Gen AI use cases - Demonstrating excellent communication skills to collaborate effectively with cross-functional teams and stakeholders - Experience in end-to-end migration from different warehouses (SAP, Oracle, Teradata, etc.) to GCP with a primary focus on designing efficient migration strategies to BigQuery Good to have skills include AI/ML background, VertexAI IAM Experience, DevOps with CI/CD Experience, experience with data visualization tools like Google Looker or Power BI, and Project & Program Management expertise. Qualifications, Skills, and Competencies: - Education & Experience: Bachelors/Masters in a relevant field with (X)+ years in domain/technology/consulting - Technical/Functional Skills: Experience in designing & implementing solutions in areas such as BigQuery, CloudSQL, Dataproc, Data Flow, Data Fusion, Data Catalog, Dataplex, Python, SQL Cloud Logging and Monitoring - Core Competencies (Soft Skills): Strong communication & presentation skills, analytical with a client-first mindset, leadership & stakeholder management abilities, and the ability to work in a global, fast-paced environment. Please note that the Job Description provided does not include details about the company. As a GCP Data Architect with 15-24 years of experience, your role will involve maintaining architecture principles, guidelines, and standards. You will lead the Data Engineering team, providing technical direction and architectural guidance. Additionally, you will lead Data Governance practices to ensure data quality, security, and compliance across the organization. Your responsibilities will include: - Strong experience in Big Data - Designing, building, and maintaining scalable data lake and data warehouse in the cloud (GCP) - Architecting, developing, and testing scalable data warehouses and data pipelines architecture in Cloud Technologies (GCP) - Defining the BI/DW architecture to support technical solutions for complex business and technical requirements - Creating solution prototypes, participating in technology selection, performing POCs, and technical presentations - Leading POCs and innovation initiatives on emerging GCP services and Gen AI use cases - Demonstrating excellent communication skills to collaborate effectively with cross-functional teams and stakeholders - Experience in end-to-end migration from different warehouses (SAP, Oracle, Teradata, etc.) to GCP with a primary focus on designing efficient migration strategies to BigQuery Good to have skills include AI/ML background, VertexAI IAM Experience, DevOps with CI/CD Experience, experience with data visualization tools like Google Looker or Power BI, and Project & Program Management expertise. Qualifications, Skills, and Competencies: - Education & Experience: Bachelors/Masters in a relevant field with (X)+ years in domain/technology/consulting - Technical/Functional Skills: Experience in designing & implementing solutions in areas such as BigQuery, CloudSQL, Dataproc, Data Flow, Data Fusion, Data Catalog, Dataplex, Python, SQL Cloud Logging and Monitoring - Core Competencies (Soft Skills): Strong communication & presentation skills, analytical with a client-first mindset, leadership & stakeholder management abilities, and the ability to work in a global, fast-paced environment. Please note that the Job Description provided does not include details about the company.