Data Engineer / Data Architect

Soul Ai; Gurugram District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Soul Ai is seeking a Data Engineer / Data Architect to design, build, and maintain scalable data infrastructure for client environments. You will enable efficient data flow, storage, transformation, and access across our ecosystems, translating complex requirements into reliable data pipelines.

Ideal candidates show strong technical skills, curiosity, and the ability to work across data engineering, analytics, and ML teams.

Qualifications

• Proficient in building scalable data pipelines and data architectures.
• Strong SQL and Python programming skills.
• Experience with ETL/ELT frameworks and orchestration tools.

Responsibilities

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

Skills

Python

SQL

Shell scripting

Education

Bachelor's or Master's in Computer Science or related

Tools

Airflow

dbt

PostgreSQL

MySQL

MongoDB

Redis

Apache Spark

Kafka

Hive

Hadoop

AWS

GCP

Azure

Redshift

BigQuery

S3

Dataflow

Databricks

Kubernetes

IaC

CI/CD

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

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