Data Architect (GCP) - Bangalore

Hi
We are having opening for Data Architect (GCP) - Bangalore

Data Architect with strong Google Cloud expertise to lead architecture for the next phase of a large enterprise data platform for a US manufacturing client. The platform delivers a large portfolio of governed data products across multiple business domains, sourced from more than one ERP system. The role covers platform architecture, canonical data models and engineering standards.

Working Days: Monday Friday
Job Timing: Dayshift


Position / DesignationData Architect (GCP)QualificationBachelor's degree in a technical field like Computer Science, Information Technology, or Data ScienceYears of Experience10 to 15 years, with at least 4 years in a data architect rolePermanent / Contract (If contract, period ?)Permanent Full TimeLocation Bangalore
First Floor, Shrutha Complex, Primrose Road, Ashok Nagar, Bengaluru, Karnataka 560025Office / Remote / HybridHybridNumber of post1GenderMale / FemaleAnnual CTC / Salary45 L to 60 LPASelection Process 3 Technical round Job Role & Responsibility / Skills

• Define the architecture of an enterprise data platform on Google Cloud, covering ingestion, raw and curated layers, canonical models and consumption.
• Design canonical, domain-oriented data models that harmonise data across multiple ERP systems.
• Lead source-to-target mapping strategy for ERP data, including cross-reference and master data mapping, value harmonisation and historical data migration.
• Define the data-as-a-product framework, including product definitions, data contracts, ownership and release criteria.
• Define the approach for data dictionary, cataloguing, data quality, lineage and observability.
• Establish engineering standards for pipelines on BigQuery, Dataflow and Cloud Composer, and review designs prior to build.
• Optimise platform cost and performance through partitioning, clustering, slot management and storage strategy.
• Guide the use of AI agents for data mapping and code generation, with subject matter expert validation.
• Support pre-sales and delivery leadership with phase planning, estimation and solution proposals.
• Engage with US-based client architects, engineering managers and data owners, with partial overlap with US time zones as required.

Skills

• 10 to 15 years of experience in data engineering and architecture, including at least 4 years in an architect role on enterprise data platforms.
• Hands-on expertise in BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow),
• Pub/Sub, Cloud Storage and IAM; experience with Cloud Data Fusion, Dataproc and Dataplex is an advantage.
• Strong experience in enterprise data modelling, including canonical and dimensional models for sales, finance and supply chain domains.
• Experience with ERP data, preferably SAP (S/4HANA, ECC, CDS views) and/or Oracle PeopleSoft, including ERP transition programmes.
• Strong SQL and Python skills.
• Experience with data quality, cataloguing and observability tools.
• Excellent communication and stakeholder management skills.

Good to Have

• Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
• Experience with Vertex AI, Gemini or other AI tooling applied to data engineering.
• Experience with Looker or Tableau semantic layers on BigQuery.
• Domain experience in manufacturing or building products.

Why Kloud9:

• Large, multi-year enterprise data programmes with significant architectural and technical ownership.
• A collaborative leadership culture grounded in servant leadership.
• Exposure to AI-native delivery practices, including agent-assisted mapping, code generation and testing.
• Hybrid working model from Bengaluru.

Joining DateNeed Immediate to 15 days