AWS Data Architect_105666

MyCareernet; Pune District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

MyCareernet is seeking an experienced data architect to define and govern architectures across wealth management, investment reporting and analytics platforms. You will design ingestion, transformation and data availability patterns on AWS services and Databricks, translating complex requirements into scalable data models.

The role requires deep expertise in data architecture, cloud data platforms and governance, with a focus on security, scalability and enterprise-grade solutions.

Qualifications

• 15-19 years of experience in data architecture and enterprise data engineering.
• Extensive hands-on architecture experience with AWS EMR, AWS Glue and AWS S3.
• Strong Databricks experience across enterprise data engineering and lakehouse architecture.
• Experience designing data platforms and integrations using Amazon RDS and related cloud data services.
• Strong understanding of data modelling, SQL, data integration, security, scalability and governance.

Responsibilities

• Define conceptual, logical and physical data architectures for wealth management, investment reporting and analytics platforms.
• Design scalable ingestion, transformation and data availability patterns using AWS EMR, AWS Glue, AWS S3, Databricks and Amazon RDS.
• Translate business and technical requirements into high-level and low-level solution designs, data models and integration specifications.
• Establish data security, access control, governance and compliance patterns for enterprise data platforms.
• Provide architecture guidance to data engineers, review solution designs and code, and support estimation, sprint planning and release governance.

Skills

Snowflake

Data architecture

AWS

Databricks

Education

Bachelor's or master's degree in CS/IT/Engineering

Tools

AWS EMR

AWS Glue

AWS S3

Databricks

Amazon RDS

Job description

Key Skills

Snowflake, Data architecture, AWS, Databricks

Roles and Responsibilities

• Define conceptual, logical and physical data architectures for wealth management, investment reporting, portfolio accounting and analytics platforms.
• Design scalable ingestion, transformation and data availability patterns using AWS EMR, AWS Glue, AWS S3, Databricks and Amazon RDS.
• Translate business and technical requirements into high-level and low-level solution designs, data models and integration specifications.
• Establish data security, access control, governance and compliance patterns for enterprise data platforms.
• Provide architecture guidance to data engineers, review solution designs and code, and support estimation, sprint planning and release governance.

Skills Required

• 15 - 19 years of experience in data architecture, cloud data platforms and enterprise data engineering.
• Extensive hands-on architecture experience with AWS EMR, AWS Glue and AWS S3.
• Strong Databricks experience across enterprise data engineering and lakehouse architecture.
• Experience designing data platforms and integrations using Amazon RDS and related cloud data services.
• Strong understanding of data modelling, SQL, data integration, security, scalability and enterprise data governance.

Good to Have

• Experience with Databricks Unity Catalog, Snowflake, Power BI or Tableau, and data governance practices.
• Exposure to GenAI applications for data analytics and investment platforms or market data providers.

Education

Bachelor's or master's degree in computer science, information technology, engineering or a related discipline.