Job highlights

- The candidate should possess strong architectural knowledge across GCP data services,Data Mesh,Lakehouse,Medallion Architecture,Data Governance and Master Data Management. . Key Responsibilities .
- Required Technical Skills . Google Cloud Platform (GCP) . BigQuery. Google Cloud Storage (GCS). Dataproc - Apache Spark. Dataflow - Apache Beam. .

Role Overview We are looking for an experienced Senior Data Architect with strong expertise in Google Cloud Platform (GCP) and Enterprise Data Architecture. The ideal candidate should have extensive experience in designing and implementing scalable, cloud-based data architectures, building modern data platforms, and driving enterprise-wide data management and governance initiatives.

The candidate should possess solid architectural knowledge across GCP data services, Data Mesh, Lakehouse, Medallion Architecture, Data Governance and Master Data Management.

Key Responsibilities

- Define and drive enterprise data architecture strategy and roadmap aligned with business objectives.
- Design and implement scalable, secure and high-performing data architectures on Google Cloud Platform (GCP).
- Architect modern data platforms leveraging BigQuery, Google Cloud Storage, Dataproc, Dataflow and Cloud Composer.
- Design and implement Data Mesh, Lakehouse and Medallion architectures.
- Define data product architecture, ensuring data quality, accessibility, reusability and scalability.
- Drive Master Data Management (MDM), metadata management and enterprise data governance initiatives.




- Establish data modelling standards, architecture frameworks and best practices.
- Design and oversee data integration, processing and orchestration solutions.
- Leverage GCP monitoring and logging services to ensure platform performance, reliability and operational efficiency.
- Provide architectural leadership and technical guidance to engineering teams and stakeholders.

Required Technical Skills 1. Google Cloud Platform (GCP)

- BigQuery
- Google Cloud Storage (GCS)
- Dataproc - Apache Spark
- Dataflow - Apache Beam
- Cloud Composer - Apache Airflow
- Dataplex
- Cloud Monitoring and Logging

2. Data Architecture & Management

- Data Mesh Architecture
- Lakehouse Architecture
- Medallion Architecture
- Data Products
- Master Data Management (MDM)
- Metadata Management
- Data Governance
- Data Modelling

Candidate Expectations

- 16-19 years of overall IT experience with significant experience in Data Architecture.
- Strong hands-on and architectural expertise in GCP data services.
- Experience in designing and leading enterprise-scale data architecture solutions.
- Strong understanding of modern data management frameworks and governance practices.
- Ability to engage with business and technical stakeholders and drive architecture decisions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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