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Enterprise Data Architect

Location: Pune / Hybrid

Exp: 8+ Years

The Enterprise Data Architect will serve as the strategic owner of the data ecosystem. This senior leader will advise on end-to-end data warehouse and Lakehouse strategies, deliver authoritative Points of View (POVs) on competitive tooling, and design scalable architectures that eliminate manual workflows and data reconciliation bottlenecks.

Required Experience & Qualifications

  • Minimum 8+ years of dedicated experience in data architecture, enterprise data modeling, or database strategy.
  • Platform Delivery at Scale: Proven experience architecting and delivering data solutions at scale using platform ecosystems like Snowflake, Databricks, or Microsoft Fabric.
  • Executive Advisory: Demonstrated success operating as a principal or lead architect advising executive stakeholders on cloud data warehouse selection.

Must-Have Skillset

  • Solution Evaluation & Strategy: Proven track record of evaluating enterprise data solutions and presenting high-level business POVs comparing Microsoft Fabric, Databricks, Snowflake, Azure Synapse, and open-source ecosystems.
  • Data Modeling & Architecture: Expert-level proficiency in designing modern data architectures (Lambda/Kappa architecture, Lakehouse, Star/Snowflake schemas).
  • Governance & Data Lineage: Experience building out automated schema change detection, data quality frameworks, and end-to-end data lineage across pipelines and BI tools.
  • Stakeholder Management: Exceptional communication skills with the ability to bridge business KPIs with technical data blueprints for executive leadership.

Optional / Nice-to-Have Skillset

  • Hands-on experience mapping data models from enterprise ERP systems (specifically NetSuite) to warehouse platforms.
  • Familiarity with training or structuring data environments to support future Agentic AI frameworks and automated data processing.

Click on the button below to apply for this job or share your resume with us at future@apptware.com

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