Data Architect

Zettamine Labs; Mumbai; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Zettamine Labs is seeking an experienced Senior Data Architect to design and lead enterprise-scale data lakehouse initiatives in a dynamic Mumbai setting. You will guide architecture decisions, mentor delivery teams, and ensure alignment with client RFPs and strategic goals.

Key responsibilities include driving data modelling, governance, and security across the platform, while coordinating with BI, AIML, and data services teams to deliver robust data solutions.

Qualifications

• Proficient in enterprise-scale data architecture and governance.
• Experience with GCP data architecture and Teradata deployments.
• MDM conceptual knowledge and medallion-arch approach for data layers.
• Strong data modelling across raw, validated, and enriched layers.
• Experience with large-scale data migration, reconciliation, and quality checks.
• Experience with integration architecture and data security implementations.
• Familiarity with Qlik for BI reporting and data consumption.
• Knowledge of DevOps/MLOps tools and processes.

Responsibilities

• Design and implement enterprise-scale data Lakehouse solutions using Teradata, Talend, and Qlik.
• Drive architectural decisions aligned with RFP requirements and strategy.
• Provide technical leadership and mentorship to development teams.
• Guide parallelized delivery across multiple tracks under tight timelines.
• Lead solution design and optimization initiatives.
• Participate in detailed project planning with program leads to meet deadlines.
• Document architecture and low-level design for components.
• Ensure data quality, governance, and security across the data platform.
• Oversee monitoring of data platform health and nonfunctional requirements.
• Collaborate with cross-functional teams for BI reporting, AIML models, and data services.

Skills

Data Architecture

GCP Data Architecture

MDM

Teradata

Talend

Data Modelling

Data Quality & Governance

Data Migration

Integration Architecture

Tools

Teradata

Talend

Qlik

Job description

Role & responsibilities

• Design and implement enterprisescale data Lakehouse solutions using Teradata, Talend, and Qlik
• Drive architectural decisions aligned with RFP requirements and organizational strategy
• Provide technical leadership and mentorship to development teams
• Guide parallelized delivery across multiple tracks under tight timelines
• Lead solution design and optimization initiatives
• Participate in detailed project planning with program leads to meet deadlines
• Conduct technical discussions with client leadership and consulting partners
• Document architecture and lowlevel design for solution components
• Ensure data quality, governance, and compliance across the data platform
• Drive adoption of DevOps/MLOps tools and processes
• Support integration with data access management solutions
• Oversee monitoring of data platform health and nonfunctional requirements
• Collaborate with crossfunctional teams for BI reporting, AIML models, and data services

Mandatory Skills

• Data Architecture (enterprise scale solutions)
• GCP Data Architecture expertise
• MDM (Master Data Management) conceptual knowledge
• Teradata deployment and architecture understanding
• Talend capabilities for data processing and integration
• Data modelling (raw, validated, enriched layers using medallion architecture)
• Data quality and governance (catalog, lineage, stewardship, security, access control)
• Largescale data migration with reconciliation and quality checks
• Integration architecture and data security implementation

Secondary Skills

• Data Lakehouse Architecture (greenfield implementations)
• Qlik for BI reporting and data consumption
• Digital eventbased architectures for near realtime processing
• AIML model development and integration with data services
• DevOps/MLOps tools and process setup