Solution Architect

Solution Architect

Solution Architect Jersey City, New Jersey

Job Summary

Architect and design end-to-end data solutions on the AWS Cloud Platform, focusing on data warehousing and big data platforms for Manufacturing Industry. Build Data pipelines with IoT and Sensor data in Medallion Architecture. Implemented SAP and MES data integration with Cloud. Develop high-level and detailed data architecture and design documentation. Implement data security frameworks and enterprise data architecture best practices to ensure the integrity and confidentiality of data. Implement data management and data governance strategies, ensuring compliance with industry standards. Work with data flows, taxonomy, lineage, and virtualization techniques to optimize data operations and organization. Apply your expertise in data modeling using tools such as Erwin to create conceptual, logical, and physical data models. Architect both batch and real-time data solutions, leveraging AWS services and technologies. Architect and Build data platforms using Databricks, EMR, Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, S3, AWS Glue, Dynamo DB, Elastic cache and RDS. Develop and maintain data pipelines for efficient data movement and transformation. Manage metadata and documentation using Erwin's modeling and data cataloging capabilities.

Key Responsibilities

Manage metadata and documentation using Erwin's modeling and data cataloging capabilities.

Skill Requirements

AWS, Databricks, Pyspark, EMR, Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, S3, AWS Glue, Dynamo DB, Elastic cache and RDS and other AWS data tools. SAP & MES Data Integration Build Pipeline with IoT and Sensor Data in Medallion Architecture 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 Good to have exposure to Snowflake, No sql DB and Orchestration tools like Airflow.

Other Requirements

Overall exp of 15 years in Data Engg with minimum of 6 years of experience in a AWS Data Architect role, supporting warehouse and big data platforms/environments. Proficiency in Databricks, Pyspark, EMR, Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, S3, AWS Glue, Dynamo DB, Elastic cache and RDS and other AWS data tools. SAP & MES Data Integration Build Pipeline with IoT and Sensor Data in Medallion Architecture 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 Good to have exposure to Snowflake, No sql DB and Orchestration tools like Airflow.

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.

Compensation and Benefits

A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.