Data Solution Architect

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED

Designation: Data Solution Architect

Job Description:

· Design, architect, and implement scalable data solutions on Google Cloud Platform (GCP) to meet the strategic data needs of the organization. · Lead the integration of diverse data sources into a unified data platform, ensuring seamless data flow and accessibility across the organization. · Develop and enforce robust data governance, security, and compliance frameworks tailored to GCP's architecture. · Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to translate business requirements into technical data solutions. · Optimize data storage, processing, and analytics solutions using GCP services such as BigQuery, Dataflow, and Cloud Storage. · Drive the adoption of best practices in data architecture and cloud computing to enhance the performance, reliability, and scalability of data solutions. · Conduct regular reviews and audits of the data architecture to ensure alignment with evolving business goals and technology advancements. · Stay informed about emerging GCP technologies and industry trends to continuously improve data solutions and drive innovation. Profile Description: · Experience: 12-15 years of experience in data architecture, with extensive expertise in Google Cloud Platform (GCP). · Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data warehousing. · Qualifications: Master’s degree in Computer Science, Data Engineering, or a related field. · Competencies: Strong leadership abilities, with a proven track record of managing large-scale data projects. Ability to balance technical and business needs in designing data solutions. · Certifications: Google Cloud Professional Data Engineer or Professional Cloud Architect certification preferred. · Knowledge: Extensive knowledge of data governance, security best practices, and compliance in cloud environments. Familiarity with big data technologies like Apache Hadoop and Spark. · Soft Skills: Excellent communication skills to work effectively with both technical teams and business stakeholders. Ability to lead and mentor a team of data engineers 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.

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