We are looking for an accomplished Databricks Solution Architect / Data
Architect to lead the design, modernization, and implementation of
enterprise-scale data platforms on Azure. In this senior role, you will define
target-state data architecture, establish scalable Lakehouse design patterns,
and guide the development of high-performance data pipelines using Databricks,
Delta Lake, and related cloud-native services. You will play a pivotal role in
shaping architecture standards across data ingestion, transformation, modeling,
governance, security, and consumption layers, while ensuring platform
scalability, reliability, performance, and cost efficiency. This role will work
closely with business stakeholders, product teams, and engineering squads to
translate complex business requirements into robust technical solutions that
enable advanced analytics, AI/ML, and data-driven decision-making across
insurance-focused business domains.
RESPONSIBILITIES
* Lead the end-to-end architecture and solution design for enterprise data
platforms on Azure,
with strong focus on Databricks Lakehouse, Delta Lake,
and scalable cloud-native data ecosystems.
* Define target-state data architecture, ingestion patterns, transformation
frameworks, and serving layers to support reporting, advanced analytics, ML,
and business-critical decisioning use cases.
* Design and implement robust ETL/ELT pipelines using PySpark, SQL, Databricks
Workflows, Auto Loader, and Delta Live Tables for batch and near real-time
processing.
* Own architecture standards for data modeling, medallion design, reusable
engineering patterns, CI/CD, code quality, setting strategy, and release
management across Databricks solutions.
* Drive platform governance and security using Unity Catalog, RBAC/ABAC
controls, lineage, auditability, and integration with enterprise governance
services such as Purview.
* Optimize solution performance by tuning Spark workloads, cluster policies,
partitioning strategy, file sizing
📌 Solution Architect (Gurugram)
🏢 EXL
📍 Gurugram