GCP Architect

Artech Infosystem Private Limited; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Artech Infosystem Private Limited seeks a senior data engineering/architecture professional to own end-to-end cloud-native data ingestion frameworks on GCP. You will define reusable batch/streaming/API patterns, manage load strategies, and drive ADRs with a focus on scalable BigQuery-driven pipelines.

Candidates should have 8+ years of experience in data engineering or solution architecture, strong hands-on GCP skills, and the ability to communicate architectural decisions across tech and

Qualifications

• 8+ years of experience in data engineering or solution architecture.
• Hands-on with Google Cloud Platform (GCP).
• Proven track record designing and delivering cloud data ingestion frameworks at enterprise scale.
• Strong experience with batch, streaming, and API ingestion patterns into cloud warehouses.
• Deep BigQuery knowledge including partitioning, clustering, cost optimisation, and transformations.

Responsibilities

• Design and own the end-to-end architecture of cloud-native data ingestion and engineering frameworks on GCP.
• Define reusable pipeline patterns for batch, streaming, and API-based data ingestion into BigQuery and GCS.
• Establish load strategies for structured data ingestion — full load, incremental, and upsert patterns.
• Drive architecture decisions to closure and publish ADRs for delivery teams.
• Evolve the framework iteratively as platform strategy and client requirements mature.
• Architect ingestion pipelines for relational databases, flat files, cloud storage, streaming queues, and API sources.
• Embed data quality checks and schema validation within ingestion pipelines.

Skills

GCP expertise

BigQuery knowledge

Data ingestion architectures

Architectural design

Stakeholder communication

Tools

GCP

BigQuery

Job description

Experience: 8+ Years

EXPERIENCE & QUALIFICATIONS

• Strong in data engineering or solution architecture, with good hands-on on GCP
• Proven track record designing and delivering cloud data ingestion frameworks at enterprise scale
• Strong experience with batch, streaming, and API ingestion patterns into cloud warehouses
• Deep BigQuery knowledge — partitioning, clustering, cost optimisation, and transformation frameworks
• Ability to own architecture decisions end-to-end and communicate clearly across technical and business audiences

Job Description

• Design and own the end-to-end architecture of cloud-native data ingestion and engineering frameworks on GCP
• Define reusable pipeline patterns for batch, streaming, and API-based data ingestion into BigQuery and GCS
• Establish load strategies for structured data ingestion — full load, incremental, and upsert patterns
• Drive key architecture decisions to closure and publish Architecture Decision Records (ADRs) for the delivery team
• Evolve the framework iteratively as platform strategy and client requirements mature
• Depth in GCP Data Services with hands-on, ability to build framework that is reliable and scalable.
• Breath on other GCP services and can hold conversations with other pillar(Observability/FinOps, Governance, Infra) to be able to provide platform driven inputs and take informed co-owned decisions.
• Architect ingestion pipelines for relational databases, flat files, cloud storage, streaming queues, and API sources

Governance & Quality

• Provide inputs and review approach and design to embed data quality checks and schema validation within ingestion pipelines