Data Engineer / Data Architect

Soul Ai; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Soul Ai is seeking a Data Engineer/Data Architect to design, build, and maintain scalable data infrastructure for client ecosystems. The role focuses on enabling efficient data flow, storage, transformation, and access across the organization, with emphasis on reliability and secure data practices.

The candidate should translate complex requirements into robust data pipelines, collaborating with data scientists, analysts, and backend engineers.

Qualifications

• Proven experience designing scalable data pipelines.
• Strong SQL and Python programming skills required.

Responsibilities

• Design, build and maintain scalable data pipelines
• Develop ETL/ELT frameworks for structured and unstructured data
• Collaborate with data scientists and backend engineers for data access
• Maintain data integrity, schema design, and data quality monitoring
• Optimize performance and reliability of data workflows in production
• Design and manage data warehousing and lakehouse architectures
• Set up IaC when applicable

Skills

Python

SQL

Shell scripting

Data modeling

Data warehousing

Education

Bachelor's or Master's in CS/Data Eng/IS

Tools

Airflow

Luigi

dbt

PostgreSQL

MySQL

MongoDB

Redis

Apache Spark

Kafka

Hive

Hadoop

AWS

GCP

Azure

Redshift

BigQuery

S3

Dataflow

Databricks

Kubernetes

Job description

We specialize in delivering high-quality human-curated data and AI-first scaled operations services

Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact

Role Overview:

We are seeking a Data Engineer / Data Architect who will be responsible for designing, building, and maintaining scalable data infrastructure and systems for a client

Youll play a key role in enabling efficient data flow, storage, transformation, and access across our organization or client ecosystems

Whether youre just beginning or already an expert, we value strong technical skills, curiosity, and the ability to translate complex requirements into reliable data pipelines

Responsibilities:

• Design and implement scalable, robust, and secure data pipelines
• Build ETL/ELT frameworks to collect, clean, and transform structured and unstructured data
• Collaborate with data scientists, analysts, and backend engineers to enable seamless data access and model integration
• Maintain data integrity, schema design, lineage, and quality monitoring
• Optimize performance and ensure reliability of data workflows in production environments
• Design and manage data warehousing and lakehouse architecture
• Set up and manage infrastructure using IaC (Infrastructure as Code) when applicable

Required Skills:

• Strong programming skills in Python, SQL, and Shell scripting
• Hands-on experience with ETL tools and orchestration frameworks (e g, Airflow, Luigi, dbt)
• Proficiency in relational databases (e g , PostgreSQL, MySQL) and NoSQL databases (e g, MongoDB, Redis)
• Experience with big data technologies: Apache Spark, Kafka, Hive, Hadoop, etc
• Deep understanding of data modeling, schema design, and data warehousing concepts
• Proficient with cloud platforms (AWS/GCP/Azure) and services like Redshift, BigQuery, S3, Dataflow, or Databricks
• Knowledge of DevOps and CI/CD tools relevant to data infrastructure

Nice to Have:

• Experience working in real-time streaming environments
• Familiarity with containerization and Kubernetes
• Exposure to MLOps and collaboration with ML teams
• Experience with security protocols, data governance, and compliance frameworks

Educational Qualifications:

Bachelors or Masters in Computer Science, Data Engineering, Information Systems, or a related technical field

Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India