Cloud Data IoT Architect for AWS & Manufacturing

HCLTech; Santa Clara (CA); On-site; USD 132,000 - 257,000; Full time

Job summary

HCLTech is seeking a Data IoT Architect to drive end-to-end data solutions on AWS for manufacturing and IoT applications. You will design architectures, build data pipelines, and guide governance and security across cloud data platforms.

You will work with Databricks, Redshift, Kinesis, S3, and other AWS services, leveraging Medallion architecture and Erwin modeling to document the architecture and ensure scalable, reliable data flows.

Qualifications

• Strong expertise in data exploration using SQL and a deep understanding of data relationships.
• Extensive knowledge and implementation experience in data management, governance, and security frameworks.
• Proven experience in creating high-level and detailed data architecture and design documentation.
• Strong aptitude for business analysis to understand domain data requirements.
• Design and implement scalable and flexible cloud data architectures; Snowflake exposure and orchestration tools like Airflow mentioned.

Responsibilities

• Architect and design end-to-end data solutions on the AWS Cloud Platform for Manufacturing Industry.
• Build Data pipelines with IoT and Sensor data in Medallion Architecture.
• Implement data security frameworks and enterprise data architecture best practices.
• Develop and maintain data pipelines for efficient data movement and transformation.
• Manage metadata and documentation using Erwin's modeling capabilities.

Skills

AWS

Databricks

Pyspark

EMR

Redshift

Kinesis

Amazon Machine Learning

Amazon Athena

S3

AWS Glue

DynamoDB

Elasticache

RDS

Snowflake

NoSQL

Airflow

Erwin

Tools

Erwin

Airflow

Job description

HCLTech is seeking a Data IoT Architect to drive end-to-end data solutions on AWS for manufacturing and IoT applications. You will design architectures, build data pipelines, and guide governance and security across cloud data platforms.

You will work with Databricks, Redshift, Kinesis, S3, and other AWS services, leveraging Medallion architecture and Erwin modeling to document the architecture and ensure scalable, reliable data flows.