Cloud Data Architect - Google Cloud Platform

Position : Cloud Data Architect (4 Openings)

Location : Mangalore / Udupi - Hybrid

Notice Period : Immediate/30 Days

Interview : 3 Tech, 1 HR

Skill to Evaluate : Gcp Architect, Data Build Tool (Dbt), ETL, Bigquery, Data Modeling, Data Warehousing

Job Description :

- Data Architect with a strong foundation in data strategy and architecture to support Procurement Services Data & Strategy team.

- Should be able to evaluate the current data landscape, recommend architectural improvements, and drive alignment between data engineering and business analytics teams.

- This role is critical in shaping a scalable and efficient data model that empowers procurement analytics and reporting.

Responsibilities :

- Lead data engineering squad to design, build, and optimize ETL pipelines; ensures quality and performance standards.

- Must have one Hetero/Homogeneous migration experience

- Interact closely with Business Analysis team, ETL team and BI Reporting teams to ensure understanding of proper use of data architecture.

- Design, build, and maintain physical databases, dimensional data models, ETL layer design and data integration strategies.

- Deep understanding of data modelling, data warehousing, and data quality.

- Candidate should possess excellent problem solving abilities and data analysis

- Good written and verbal communication skills.

- Hands-on experience with Google Cloud Platform (GCP), particularly GCP Data Lakes.

- Proficient in BigQuery for data querying and structuring.

- Familiarity with DBT (Data Build Tool) for modular SQL-based data transformations.

- Experience with Enterprise Load-Transform (ELT) architectures and large-scale data pipelines

Preferred Skills :

- Should have skills and ability to engage in multiple initiatives simultaneously.

- Able to analyse information and anticipate outcomes to choose the best solutions.

- Extensive knowledge and practical experience in defining Master Data Management strategies, implementing MDM services, Metadata Management, Data Governance, and Data Quality solutions.

- Familiarity with enterprise data integration technologies and methods, including ETL, data replication, and data services.