Data Architect

Role- Data Architect

Experience- 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.

• Strong 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.

Application link- https://careers.renew.com/job-invite/34021/

Skills Required
Spark, Data Modelling, Azure Databricks, Encryption, Governance, masking, rbac, Security Architecture