Data IoT Architect

HCLTech

Santa Clara (CA)

On-site

USD 132,000 - 257,000

Full time

4 days ago
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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 looking for a highly talented and self- motivated Data IoT Architect to join it in advancing the technological world through innovation and creativity.

Job Title: Data IoT Architect

Job ID: 152741

Position Type: Full-time

Role/Responsibilities
  • 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 IntegrationBuild 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 architecturesGood to have exposure to Snowflake, No sql DB and Orchestration tools like Airflow.

Pay and Benefits

Pay Range Minimum: $132,000/Annum

Pay Range Maximum: $257,000/Annum

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.

Compensation and Benefits

A candidate’s pay within the range will depend on their work location, 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.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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