Data Architect

• Key Responsibilities:
• • Own end-to-end Data Architecture strategy across enterprise platforms (Cloud, On-prem, Hybrid).
• • Drive Delivery Governance ensuring quality, timelines, financials, and stakeholder alignment.
• • Establish and operationalize Data Governance frameworks (data quality, lineage, catalog, compliance).
• • Lead and enhance Informatica MDM (multi-domain) implementations, upgrades, and optimization.
• • Architect Cloud Data Platforms (Azure/GCP/AWS) leveraging modern data stack (Data Lakehouse, ETL/ELT, streaming).
• • Enable AI/GenAI adoption by designing data foundations for ML, analytics, and intelligent automation.
• • Partner with business and IT leadership to translate data strategy into execution roadmaps.
• • Define and enforce architecture standards, best practices, and reusable accelerators.
• • Mentor teams and influence large-scale data transformation programs.
• Must-Have Skills & Experience:
• • 15+ years in Data Engineering / Data Architecture / Data Platforms
• • Strong expertise in:
• o Informatica ETL, MDM (Multidomain / Customer 360 / Data Governance tools)
• o Cloud Architecture (Azure, GCP, AWS – data services stack)
• o Data Governance tools & framework implementation
• o Enterprise Data Modeling (Canonical, Dimensional, Data Vault)
• • Proven track record in Delivery Governance & large program leadership
• • Experience in AI/ML data readiness, GenAI ecosystem exposure
• • Strong hands-on with:
• o ETL/ELT tools (ADF, Informatica, Databricks)
• o Data Lakes / Lakehouse architectures
• o SQL, Big Data technologies
• • Domain experience in BFSI / Insurance preferred

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