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

Bilvantis Technologies; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Bilvantis Technologies is seeking a seasoned GCP Data Architect with 12+ years of data engineering and architecture experience to lead the design and delivery of scalable data platforms on Google Cloud. You will drive end-to-end migration initiatives, define standards, and mentor engineering teams.

The role focuses on building modern data solutions using BigQuery, Dataflow, Dataproc, Cloud Composer, and related GCP services, with strong SQL/Python skills for both batch and streaming workloads.

Qualifications

• 12+ years of data engineering experience.
• Experience migrating enterprise data to GCP from on-premises/legacy systems.
• Strong SQL and Python/PySpark for batch and streaming processing.

Responsibilities

• Lead design and delivery of large-scale data platforms on Google Cloud.
• Drive end-to-end data migration programs and validate results.
• Define cloud data architecture standards, governance, and security practices.
• Mentor data engineering teams and perform design/code reviews.

Skills

GCP

BigQuery

Dataflow

Dataproc

Cloud Composer

Pub/Sub

Cloud SQL

Spanner

Data Fusion

Dataplex

SQL

Python

PySpark

Airflow

CI/CD

Git

Job description

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