- 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 Big Query, 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: Masters 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 Qualified 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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📌 Data Architect (Chennai)
🏢 Olam International
📍 Chennai