GCP Data Architect

Seeking GCP data architect with experience in data modeling and building data pipelines. The ideal candidate should have hands-on experience with GCP services such as Composer, GCS, GBQ, Dataflow, Dataproc, and Pub/Sub. Additionally, the candidate should have a proven track record in designing data solutions, covering everything from data integration to end-to-end storage in BigQuery.

Roles & Responsibilities:

Design Data Flows: Architect and implement data flows that ensure seamless data movement from source systems to target systems, facilitating real-time or batch data ingestion, processing, and transformation.
Data Integration & ETL Processes: Design and manage ETL processes, ensuring the efficient integration of diverse data sources and high-quality data pipelines.
Build Data Products in GBQ: Work on building data products using Google BigQuery (GBQ), designing data models and ensuring data is structured and optimized for analysis.
Stakeholder Interaction: Regularly engage with business stakeholders to gather data requirements and translate them into technical specifications, building solutions that align with business needs.
Ensure Data Quality & Security: Implement best practices in data governance, security, and compliance for both storage and processing of sensitive data.
Continuous Improvement: Evaluate and recommend new technologies and tools to improve data architecture, performance, and scalability

Qualifications:
7 to 10 years of experience in Data Architecture, with a strong focus on cloud platforms like GCP.
Expertise in Google Cloud Platform (GCP) services including Composer, GCS, GBQ, Dataflow, Dataproc, and Pub/Sub.
In-depth experience in data modeling, designing schemas, and ensuring efficient data structures in GBQ.
Strong experience with ETL processes and data integration.
Knowledge of data governance tools such as Collibra and experience with managing metadata and data lineage.
Experience with building and optimizing data pipelines in cloud environments.
Proficiency in designing and implementing data products that support business intelligence, reporting, and analytics.
Ability to work closely with both business and technical teams, understanding requirements and translating them into effective solutions