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GCP Data Architect

Techmango Technology Services Private Limited

12 years

0 Lacs

Madurai Tamil Nadu India

Posted:2 weeks ago| Platform:

Apply

Skills Required

gcp data design vision latency dataflow apache pipeline orchestration composer drive clustering strategies monitoring logging security encryption controls devops automation architecture deployment engineering storage sql nosql

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Technical GCP Data Architect/Lead

Location:

Experience:

Notice Period:

Job Summary

We are seeking a hands-on Technical GCP Data Architect/Lead

Key Responsibilities

Architect and implement end-to-end
streaming data solutions
on GCP using
Pub/Sub
,
Dataflow
, and
BigQuery
.
Design real-time ingestion, enrichment, and transformation pipelines for high-volume event data.
Work closely with stakeholders to understand data requirements and translate them into scalable designs.
Optimize streaming pipeline performance, latency, and throughput.
Build and manage orchestration workflows using
Cloud Composer (Airflow)
.
Drive schema design, partitioning, and clustering strategies in BigQuery for both real-time and batch datasets.
Define SLAs, monitoring, logging, and alerting for streaming jobs using
Cloud Monitoring
,
Error Reporting
, and
Stackdriver
.
Experience with the data modeling.
Ensure robust security, encryption, and access controls across all data layers.
Collaborate with DevOps for CI/CD automation of data workflows using
Terraform
,
Cloud Build
, and
Git
.
Document streaming architecture, data lineage, and deployment runbooks.

Required Skills & Experience

10+ years of experience in data engineering or architecture.
3+ years of
hands-on GCP data engineering
experience.
Strong expertise in:
Google Pub/Sub
Dataflow (Apache Beam)
BigQuery (including streaming inserts)
Cloud Composer (Airflow)
Cloud Storage (GCS)
Solid understanding of
streaming design patterns
,
exactly-once delivery
, and
event-driven architecture
.
Deep knowledge of SQL and NoSQL data modeling.
Hands-on experience with
monitoring and performance tuning
of streaming jobs.
Experience using
Terraform
or equivalent for infrastructure as code.
Familiarity with
CI/CD pipelines
for data workflows.

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