Job Description: GCP Data Engineering – Data Architect (Exp: 12 Yrs to 16 Yrs)

We are seeking a seasoned GCP Data Architect with 12+ years of experience in data engineering and architecture to lead the design and delivery of large-scale data platforms on Google Cloud. You will drive end-to-end data migration initiatives, define cloud data architecture standards, and mentor engineering teams building modern, scalable data solutions.

Experience should have 12 Years to 16 Years of Data Engineering.
Architect, design, and implement enterprise-scale data platforms and pipelines on Google Cloud Platform (GCP).
Lead complex data migration programs from on-premises / legacy systems (Teradata, Oracle, Hadoop, SQL Server, etc.) to GCP, covering assessment, strategy, execution, and validation.
Design solutions leveraging GCP services such as BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Cloud Storage, Cloud SQL, Spanner, Data Fusion, and Dataplex.
Develop and optimize data processing frameworks using Python and PySpark for batch and streaming workloads.
Write, review, and tune complex SQL for data transformation, modeling, and analytics on BigQuery and other databases.
Build, schedule, and manage workflow orchestration using Apache Airflow / Cloud Composer, including DAG design, dependency management, and monitoring.
Define data architecture standards, data modeling approaches (dimensional, data vault, lakehouse), and best practices for security, governance, and cost optimization.
Collaborate with business stakeholders, data engineers, analysts, and DevOps teams to translate requirements into scalable technical solutions.
Establish CI/CD, testing, and observability practices for data pipelines.
Mentor and provide technical leadership to data engineering teams; conduct design and code reviews.
Knowledge in Cloud SQL, Dataplex is a plus.
Understanding on the SDLC.
Understanding on the Agile methodologies.
Communication with customer and producing the Daily status report.
Should have good oral and written communication.
Should be a good team player.
Should be proactive and adaptive.

Key Skills: GCP, BigQuery, DataProc, Dataflow, Dataform, SQL, Python, Pyspark, Airflow, CI/CD Pipelines, Git

GCP Data Engineering Data Architect (Exp: 12 Yrs to 16 Yrs)