Data Solution Architect

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED

**Designation:Data Solution
ArchitectJob
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.

Required abilities

• Physical:

• Other:Work Environment Details:Specific requirements

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