Data Architect

ReNew; Gurugram District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

ReNew seeks a Senior Data Platform Architect to define and own the target-state architecture for a Unified Data Platform using Data Mesh, medallion lakehouse, and streaming layers on Azure Databricks + Delta Lake. You will design scalable ingestion across ERP and OT/IoT sources and architect Unity Catalog governance.

Responsibilities include implementing RBAC/ABAC, data modelling standards, and reusable platform patterns, with a focus on security, observability, and cost/performance

Qualifications

• 12+ years in enterprise data/ platform engineering and 5+ years architecting large-scale data platforms.
• Hands-on expertise in Azure Databricks, Delta Lake, Unity Catalog, Spark, and ADLS Gen2; medallion/lakehouse experience.
• Strong grounding in data modelling, governance, lineage, and security architecture (RBAC/ABAC).

Responsibilities

• Platform architecture: Define and own the target-state architecture for the Unified Data Platform – Data Mesh principles, medallion lakehouse, warehouse, and streaming layers on Azure Databricks + Delta Lake.
• Integration & ingestion: Design scalable ingestion patterns across SAP, SuccessFactors, payroll, finance, and OT/IoT sources.
• Governance & catalog: Architect the Unity Catalog governance layer – catalog/schema structure, metadata, lineage, ownership, certification, and discoverability.
• Security by design: Embed RBAC/ABAC, masking, encryption in transit and at rest, and auditability to meet controls; avoid vulnerabilities before go-live.
• Data modelling standards: Set conceptual/logical/physical and dimensional modelling standards for BI, KPIs, and AI consumption.
• Reusable patterns: Establish reference architectures and reusable platform capabilities to drive a scale-first operating model.
• AI readiness: Define architecture for governed AI and data-driven access patterns.
• DataOps & operability: Define Dev/UAT/Prod strategy, CI/CD, observability, data quality, and cost/performance optimization.

Skills

Azure Databricks

Delta Lake

Unity Catalog

Spark

ADLS Gen2

Data governance

Data modelling

RBAC/ABAC

Security architecture

IoT data integration

Industrial domain

Job description

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.