Data Solution Architect

Job Description

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED Designation: Data SolutionArchitect JobDescription: Design,architect, and implement scalable data solutions on Google Cloud Platform (GCP)to meet the strategic data needs of the organization. Leadthe integration of diverse data sources into a unified data platform, ensuringseamless data flow and accessibility across the organization. Developand enforce robust data governance, security, and compliance frameworkstailored to GCP's architecture. Collaboratewith cross-functional teams, including data engineers, data scientists, andbusiness stakeholders, to translate business requirements into technical datasolutions. Optimizedata storage, processing, and analytics solutions using GCP services such asBigQuery, Dataflow, and Cloud Storage. Drivethe adoption of best practices in data architecture and cloud computing toenhance the performance, reliability, and scalability of data solutions. Conductregular reviews and audits of the data architecture to ensure alignment withevolving business goals and technology advancements. Stayinformed about emerging GCP technologies and industry trends to continuouslyimprove data solutions and drive innovation. ProfileDescription: Experience:12-15 years of experience in data architecture, with extensive expertise inGoogle Cloud Platform (GCP). Skills:Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, CloudStorage, and IAM. Proficiency in data modeling, ETL processes, and datawarehousing. Qualifications:Masters degree in Computer Science, Data Engineering, or a related field. Competencies:Strong leadership abilities, with a proven track record of managing large-scaledata projects. Ability to balance technical and business needs in designingdata solutions. Certifications:Google Cloud Professional Data Engineer or Professional Cloud Architectcertification preferred. Knowledge:Extensive knowledge of data governance, security best practices, and compliancein cloud environments. Familiarity with big data technologies like ApacheHadoop and Spark. SoftSkills: Excellent communication skills to work effectively with both technicalteams and business stakeholders. Ability to lead and mentor a team of dataengineers and architects. Tools:Experience with version control (Git), CI/CD pipelines, and automation tools.Proficient in SQL, Python, and data visualization tools like Looker or Power BI. Required abilities Physical: Other: Work Environment Details: Specific requirements Travel: Vehicle: Work Permit: Other details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation: