Data Architect

Agilisium; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Agilisium in Pune seeks an experienced Data Architect to design and implement scalable data pipelines using PySpark, Databricks, Python, and SQL. You will work with AWS/Azure cloud services and modern data platforms to enable analytics and reporting at scale.

The ideal candidate has 10+ years in data architecture, strong hands-on cloud experience, and solid data modelling skills. This role is on-site with a full-time employment arrangement and requires collaboration with cross-functional teams.

Qualifications

• 10+ years of experience in data architecture and engineering.
• Strong hands-on experience with cloud data platforms.
• Experience designing scalable data pipelines.

Responsibilities

• Design, develop, and maintain scalable data pipelines using PySpark, Python, and Databricks.
• Develop and optimize complex SQL queries for data processing and performance.
• Build and maintain ETL/ELT pipelines for large-scale data processing.
• Work with AWS/Azure cloud services to deploy data engineering solutions.
• Collaborate with data warehouses, data lakes, and modern data platforms.
• Apply data modelling concepts to support analytical and reporting requirements.
• Implement best practices using Git and CI/CD.

Skills

PySpark

Databricks

Python for Data Engineering

SQL

Cloud platforms (AWS/Azure)

Data Modelling

Data Warehousing

ETL/ELT

Git & CI/CD

Data pipeline design

Communication skills

Tools

Git

CI/CD

Job description

We are looking for an experienced Data Architect with strong expertise in PySpark, Databricks, Python, SQL, and Cloud technologies to join our data engineering team. The ideal candidate should have strong hands-on experience in building scalable data pipelines and working with cloud-based data platforms.

Job Location: Pune

Experience: 10+ Years

Work Mode: Work From Office (WFO)

Employment Type: Full-Time

Interview Date: 28-Nov-2026

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using PySpark, Python, and Databricks.
• Develop and optimize complex SQL queries for data processing and performance.
• Build and maintain ETL/ELT pipelines for large-scale data processing.
• Work with AWS/Azure cloud services to develop and deploy data engineering solutions.
• Work with data warehouses, data lakes, and modern data platforms.
• Apply data modelling concepts to support analytical and reporting requirements.
• Implement best practices using Git, CI/CD, and version control.
• Troubleshoot data pipeline issues and optimize solutions for performance, scalability, and reliability.
• Collaborate effectively with cross-functional teams, architects, and business stakeholders.

Mandatory Skills:

• Strong expertise in PySpark and Databricks
• Strong hands-on experience with Python for Data Engineering
• Proficiency in SQL, including complex queries and performance tuning
• Hands-on experience with AWS or Azure
• Strong understanding of Data Modelling, Data Warehousing, and ETL/ELT
• Experience with Git and CI/CD practices
• Strong problem-solving and communication skills