Data Engineering/Data Architecture

We're Hiring: Data Engineering/Data Architecture Expert!

We are searching for a seasoned professional in Data Engineering and Data Architecture to lead our data initiatives. With at least 12 years of experience, you will design, implement, and optimize scalable data solutions that power business insights and innovation.

Location: Bangalore Urban, India
Work Mode: Work from anywhere
Role: Data Engineering/Data Architecture

What You'll Do:
Architect robust data pipelines and scalable architectures
Drive end-to-end data engineering projects from conception to deployment
Ensure data quality, governance, and security best practices
Collaborate with cross-functional teams to understand business requirements
Optimize performance of existing systems for reliability and speed
Evaluate emerging technologies and recommend adoption where beneficial

What We're Looking For:
Minimum 12 years of experience in data engineering/data architecture

Core Stack: AWS and Snowflake – expert level, plus Airflow and dbt

PySpark & Python are mandatory: Both need to be at an advanced/expert level. Basic or average knowledge is not sufficient.

Real architecture experience: The candidate should have hands-on experience designing and implementing data architecture, not just theoretical exposure.

AWS architecture: AWS experience should be at an architect level, not just basic cloud exposure.

Architecture mindset: This is a critical requirement. The candidate should be able to think through scalability, performance, parallel processing, metadata-driven approaches, etc.

Problem-solving example: For the scenario of refreshing 50 tables in 10 minutes instead of 100 minutes, the candidate should be able to immediately think about parallel processing/concurrency and architectural optimization.

Leadership expectation: The requirement is for someone who can lead from an architecture and technical perspective, rather than someone who needs to be groomed into an architect.