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Data Architect

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Onsite

Data Architect

Zettamine Labs

Data Architect

Skills

Google Cloud PlatformTalendCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

3 September 2026

What they need


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
  • Monitoring tools for data platform health (Teradata, Talend, Qlik)
  • Insurance domain functional expertise (added advantage)

If you are interested and meet the above requirements, please share your updated profile at [email protected] . I will personally follow up with you after receiving your application.

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