Architect - Data Engineer

Emids Technologies; Bengaluru; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

Emids Technologies in Bengaluru is seeking an experienced Associate Architect / Architect Data Engineering with 13+ years of hands‑on data engineering leadership. Lead Databricks‑based pipelines, optimize performance, and mentor a team of data engineers.

The role emphasizes architecture design, coding standards, and collaboration with stakeholders to translate business requirements into scalable data platforms and reliable ETL/ELT processes.

Qualifications

• 13+ years of data engineering experience
• Strong expertise in Databricks, PySpark, AWS, and Airflow with Python and SQL experience
• Experience leading a team of data engineers and setting engineering standards

Responsibilities

• Provide hands-on technical leadership for data engineering initiatives.
• Lead a team of data engineers and design scalable, high-performance data solutions.
• Establish engineering best practices and guidelines; conduct code reviews.

Skills

Databricks

PySpark

Python

AWS

Tools

Databricks

AWS

Job description

Role & responsibilities

We are looking for an experienced Associate Architect / Architect Data Engineering to provide hands‑on technical leadership for our data engineering initiatives. The ideal candidate should have 13+ years of experience in data engineering, with strong expertise in Databricks, PySpark, AWS, and Airflow with Python and SQL experience.

The Tech Lead will be responsible for leading a team of data engineers, designing scalable and high-performance data solutions, establishing engineering best practices, and partnering with cross‑functional stakeholders to translate business requirements into robust data platforms and pipelines.

This role requires a combination of strong technical expertise, architecture knowledge, team leadership, problem‑solving ability, and stakeholder management skills.

Preferred candidate profile

• Provide technical leadership and mentorship to a team of data engineers.
• Define and implement best practices, coding standards, development methodologies, and engineering guidelines.
• Conduct code reviews and provide technical guidance to improve code quality, scalability, and maintainability.
• Drive technical decisions and resolve complex data engineering challenges.
• Identify technical risks and define appropriate mitigation strategies.
• Design, develop, and maintain scalable, reliable, and high-performance data pipelines.
• Build data engineering solutions using Databricks, AWS Cloud Services, PySpark, Python and SQL.
• Design and implement data architecture, data models, ETL/ELT frameworks, and data processing solutions.

Must have Skills:

• Data bricks
• Pyspark
• Python
• AWS