Data 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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