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bilvantis

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

Hyderabad · Director

Older listing - lower visibility likelyVerified listingPosted 89d ago

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Skills required

16 listed
Google Cloud Platform (GCP)CI/CDGoogle CloudData MigrationCloud StorageData FusionApache AirflowDependency Management+8 more
Google Cloud Platform (GCP)CI/CDGoogle CloudData MigrationCloud Storage

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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

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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