Data Architect

Mindsprint Pte. Ltd.; Chennai; Sur place; INR 3 500 000 - 5 500 000; Plein temps

Résumé du poste

Mindsprint Pte. Ltd. in Chennai, India, seeks a Data Solution Architect with 12–15 years of experience in data architecture on Google Cloud Platform.

You will design scalable data solutions, integrate diverse data sources into a unified platform, and ensure governance, security, and compliance across the cloud stack. Collaborate with data engineers, data scientists, and business stakeholders to translate requirements into technical data solutions, optimize storage and analytics using BigQuery,

Qualifications

• 12–15 years of experience in data architecture.
• Deep expertise with Google Cloud Platform (GCP) including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM.
• Master’s degree in Computer Science, Data Engineering, or related field.
• Strong leadership, with a track record of managing large-scale data projects.
• Knowledge of data governance, security, and compliance in cloud environments.
• Familiarity with Hadoop and Spark in large data environments.
• Excellent communication to collaborate with technical teams and business stakeholders.
• Proficient in Git, CI/CD pipelines, SQL, Python; able to use Looker/Power BI for data visualization.

Responsabilités

• Design, architect, and implement scalable data solutions on GCP to meet organizational data needs.
• Lead the integration of diverse data sources into a unified data platform.
• Develop and enforce data governance, security, and compliance frameworks on GCP.

Connaissances

GCP services

Data modeling

ETL processes

Data warehousing

Leadership

Communication

Mentoring

Formation

Master's degree in Computer Science

Outils

Git

CI/CD

SQL

Python

Looker

Power BI

Description du poste

Job Description

(DO NOT USE), Chennai, Tamil Nadu, India

10 - 18 Years

Permanent Full Time

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.