Role- Data Architect Experienece- 12- 15 years Location- Gurgoan Key Responsibilities • Platform architecture: Define and own the target-state architecture for the Unified Data Platform Data Mesh principles, medallion lakehouse (Bronze/Silver/Gold), warehouse, and streaming layers on Azure Databricks + Delta Lake – aligned to enterprise architecture and the business roadmap. • Integration & ingestion: Design scalable ingestion patterns across enterprise systems (SAP, SuccessFactors, payroll, finance) and asset/OT/IoT sources (SCADA, sensor, plant data) – batch, micro batch, and real-time streaming. • Governance & catalog: Architect the Unity Catalog governance layer – catalog/schema structure, metadata, lineage, ownership, certification, and discoverability of enterprise data assets. • Security by design: Embed RBAC/ABAC, masking, encryption in transit and at rest, and auditability to meet DPDPA and SOX-equivalent controls; ensure no production go-live with open vulnerabilities or pending InfoSec / VAPT closure. • Data modelling standards: Set conceptual/logical/physical and dimensional (star-schema) modelling standards and curated Gold-layer patterns for BI, KPIs, and AI consumption. • Reusable patterns: Establish reference architectures, blueprints, and reusable platform capabilities to reduce duplication and drive a platform-first, scale-first operating model across business lines. • AI readiness: Define the architecture for governed AI and “Talk to your Data” conversational access – feature, model-consumption,



and access patterns built on trusted data. • DataOps & operability: Define Dev/UAT/Prod strategy, CI/CD, observability, data quality, and cost/performance optimisation for long-term supportability; provide architectural governance to engineering and SI partners (KPMG, Databricks). Experience & Skills • 12+ years in enterprise data / platform engineering, with 5+ years designing large-scale data platforms as an architect. • Deep hands-on expertise in Azure Databricks, Delta Lake, Unity Catalog, Spark, and ADLS Gen2; proven medallion / lakehouse architecture experience. • Solid grounding in data modelling, governance, lineage, and security architecture (RBAC/ABAC, masking, encryption). • Experience integrating diverse sources including time-series / OT / IoT data; renewable-energy or industrial-domain exposure is an advantage. • Cloud-native design across Azure (primary) and AWS; strong stakeholder management across business, InfoSec, and enterprise architecture. • Databricks and Azure Data / Solutions Architect certifications preferred. Core Technology Stack Databricks, Unity Catalog, Delta Lake, Databricks SQL, Spark / Spark SQL, ADLS Gen2, Lakehouse & Medallion Architecture, Dimensional Modelling & Star Schema, Data Warehousing, Streaming (Structured Streaming / Kafka / Event Hubs), Metadata & Master/Reference Data Management, Data Governance, Data Lineage, Data Quality, RBAC/ABAC, Encryption & Masking, CI/CD & DataOps, Power BI, and AWS.

📌 Data Architect (Gurugram)
🏢 RENEW
📍 Gurugram