Data Architect

Neurealm; Chennai District; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Neurealm is seeking an experienced Data Solution Architect to design, architect, and implement large-scale data platforms and analytics solutions in Chennai. You will work with Databricks, Azure, and GCP to build scalable data pipelines and deliver animated data stories for technical and business audiences.

You will influence data strategy, optimize pipelines, and ensure platform scalability and governance across cloud ecosystems, collaborating with stakeholders to translate business needs into

Qualifications

• Experience designing and implementing large-scale data platforms.
• Strong hands-on experience with Databricks, Azure, and GCP.
• Proficient in Spark, PySpark, SQL, Python for data engineering and analytics.
• Ability to design animated data stories for technical and business audiences.
• Excellent communication and stakeholder management.

Responsibilities

• Design end-to-end data lakehouse, data warehouse, and analytics architectures.
• Build scalable, cost-optimized ingestion, transformation, streaming, and ML pipelines.
• Define architecture standards, governance models, and data models.
• Architect and optimize Databricks Lakehouse solutions with Delta Lake and Unity Catalog.
• Lead data engineering initiatives and guide implementation across cloud platforms.

Skills

Data architecture

Data modeling

ETL frameworks

Streaming

Communication

Stakeholder management

Tools

Databricks

Azure

GCP

SQL

Python

PySpark

Kafka

Job description

Job Summary

We are looking for an experienced Data Solution Architect to design, architect, and implement large-scale data platforms and analytics solutions. The ideal candidate will have strong hands-on experience in Databricks, Azure, and Google Cloud Platform (GCP), along with the ability to create animated/visual data stories for technical and business audiences.

Job Posted On

18-09-2026 10:27:16

Job Code

Job_304740

Experience Required

13 - 15 years

Location

• Chennai, Tamil Nadu, India (CHN)

Job Summary

We are looking for an experienced Data Solution Architect to design, architect, and implement large-scale data platforms and analytics solutions. The ideal candidate will have strong hands-on experience in Databricks, Azure, and Google Cloud Platform (GCP), along with the ability to create animated/visual data stories for technical and business audiences.

Candidate will play a key role in defining data strategy, optimizing data pipelines, ensuring platform scalability, and developing reusable frameworks. ?

Required Skills & Experience

• 10–12+ years overall in data engineering, analytics, or architecture roles.
• 2–4+ years strong hands-on experience in Databricks (mandatory).
• Deep experience with Azure and GCP cloud ecosystems.
• Strong expertise in Spark, PySpark, SQL, Python.
• Proficiency in data modeling, ETL frameworks, and distributed data systems.
• Experience with streaming technologies (Kafka, Event Hub, Pub/Sub).
• Ability to design and present animated architecture and data flows.
• Strong communication and stakeholder management skills.

Key Responsibilities

• Architecture & Solution Design
• Design end-to-end data lakehouse, data warehouse, and analytics architectures using Databricks, Azure, and GCP.
• Build scalable and cost-optimized architectures for ingestion, transformation, streaming, and ML workloads.
• Define and enforce architecture standards, patterns, and governance models.
• Translate business requirements into logical and physical data models.
• Databricks Expertise
• Architect and optimize Databricks Lakehouse solutions using Delta Lake, Unity Catalog, Databricks SQL, MLflow, Auto Loader, and DLT.
• Implement advanced transformations using PySpark, Spark SQL, and notebooks.
• Design job orchestration using Databricks Workflows or other orchestration tools.
• Cloud Platform Ownership

Azure

• Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Synapse, Azure Functions, Event Hub, Azure DevOps, Azure Kubernetes Service (AKS).
• Architecture of secure and scalable data systems on Azure.

GCP

• BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Cloud Composer.
• Hands-on experience designing lakehouse/analytics solutions on GCP.
• Data Engineering & Integration
• Lead development of batch and real-time data pipelines using Spark, ADF, Dataflow, or Databricks Workflows.
• Implement ETL/ELT frameworks, CI/CD, and reusable components.
• Security & Governance
• Implement data governance frameworks including Unity Catalog, encryption, and compliance.
• Ensure best practices for cost optimization, monitoring, and performance tuning.