Data Architect (Freelancer)

Soul Ai; Gurugram District; Remote; INR 2.400.000 - 3.600.000; Vollzeit

Zusammenfassung

Soul AI is seeking India-based Data Architects to design and optimize enterprise-scale data platforms. You will build real-time and batch pipelines, enforce governance, and optimize for performance and cost in cloud environments.

Collaboration with leaders on cutting-edge AI initiatives is expected. The role involves designing scalable data systems and leveraging technologies like Spark, Kafka, and cloud services across AWS, Azure, and GCP, with a focus on security, compliance, and DevOps

Qualifikationen

• Strong experience in designing scalable, distributed data systems.
• Proficient in Python, Scala, Java and Spark, Hadoop, Flink, Kafka, on AWS/Azure/GCP.
• Data modeling, governance, warehousing and security/compliance (GDPR, HIPAA).
• Hands-on CI/CD with Terraform, CloudFormation, Airflow, Kubernetes and data infra optimization (Prometheus, Grafana).
• Nice to have graph databases, ML pipeline integration, real-time analytics, IoT solutions.

Aufgaben

• Design and architect enterprise-scale data platforms, integrating diverse data sources and tools.
• Develop real-time and batch data pipelines to support analytics and machine learning.
• Define and enforce data governance strategies to ensure security, integrity, and compliance along with optimizing data pipelines for high performance, scalability, and cost efficiency in cloud environments.
• Implement solutions for real-time streaming data (Kafka, AWS Kinesis, Apache Flink) and adopt DevOps/DataOps best practices.

Kenntnisse

Data architecture

Distributed data systems

Python

Scala

Java

Apache Spark

Hadoop

Flink

Kafka

AWS

Azure

GCP

Data modeling

Data governance

Data warehousing

Snowflake

Redshift

BigQuery

GDPR

HIPAA

Terraform

CloudFormation

Airflow

Kubernetes

Prometheus

Grafana

Graph databases

Machine learning pipeline

Real-time analytics

IoT

Open-source contributions

Tools

Terraform

CloudFormation

Airflow

Kubernetes

Prometheus

Grafana

Jobbeschreibung

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI).

We are looking for Indias top 1% Data Architects for a unique job opportunity to work with the industry leaders.

Who can be a part of the community.

We are looking for top-tier Data Architects who are proficient in designing, building and optimizing data pipelines.

If you have experience in this field then this is your chance to collaborate with industry leaders.

Whats in it for you.

Pay above market standards.

The role is going to be contract based with project timelines from 2 12 months, or freelancing.

Be a part of an Elite Community of professionals who can solve complex AI challenges.

Work location could be.

• Remote (Highly likely).
• Onsite on client location.
• Deccan AIs OfficeHyderabad or Bangalore.

Responsibilities.

• Design and architect enterprise-scale data platforms, integrating diverse data sources and tools.
• Develop real-time and batch data pipelines to support analytics and machine learning.
• Define and enforce data governance strategies to ensure security, integrity, and compliance along with optimizing data pipelines for high performance, scalability, and cost efficiency in cloud environments.
• Implement solutions for real-time streaming data (Kafka, AWS Kinesis, Apache Flink) and adopt DevOps/DataOps best practices.

Required

Skills:

• .Strong experience in designing scalable, distributed data systems and programming (Python, Scala, Java) with expertise in Apache Spark, Hadoop, Flink, Kafka, and cloud platforms (AWS, Azure, GCP).
• Proficient in data modeling, governance, warehousing (Snowflake, Redshift, Big Query), and security/compliance standards (GDPR, HIPAA).
• Hands-on experience with CI/CD (Terraform, Cloud Formation, Airflow, Kubernetes) and data infrastructure optimization (Prometheus, Grafana).

Nice to Have.

• Experience with graph databases, machine learning pipeline integration, real-time analytics, and IoT solutions.
• Contributions to open-source data engineering communities.