Data Domain Architect Associate Senior - SQL, Snowflake, Datalake/AWS

J.P. Morgan; Hyderabad; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A leading financial institution in Hyderabad is seeking a Data Domain Architect Associate Senior to drive data innovation and deliver enterprise-class data platforms. The ideal candidate will have over 3 years of experience, strong skills in SQL and Python, and a solid understanding of data platform technologies like Snowflake and AWS Data Lake. Excellent communication and collaboration skills are essential for driving product development.

Qualifications

• 3+ years of experience with a strong technology background.
• Solid understanding of SQL, Python, and data engineering tools.
• Ability to function in a fast-paced, detail-oriented environment.

Responsibilities

• Engage with users to understand business data usage.
• Establish and manage relationships with the analyst community.
• Drive product strategy and priorities.

Skills

SQL

Python

Communication skills

Data engineering tools

Education

Computer Science or Engineering

Tools

Snowflake

AWS Data Lake

Job description

Join us to drive data innovation and create impactful solutions at JPMorgan Chase.

As a Data Domain Architect Associate Senior within the Data and Analytics team, you will collaborate with business analysts and engineering teams to deliver enterprise-class data platforms. You will leverage data to build competitive advantages and provide value and protection for customers.

Job Responsibilities

• Engage with users to understand business data usage and potential improvements.
• Establish and manage relationships with the analyst community.
• Drive product strategy and priorities using technical expertise.
• Define features and capabilities for future user consumption services.
• Collaborate with engineering teams to build scalable and resilient data warehouses.
• Maintain and refine product backlog through agile practices.
• Validate delivered features against business requirements through testing.

Required Qualifications, Capabilities, and Skills

• 3+ years of experience with a strong technology background and communication skills.
• Solid understanding of SQL, Python, and other data engineering tools.
• Ability to operate in a fast-paced, detail-oriented organization.
• Understanding of data platform technologies, including Snowflake, AWS Data Lake, and Info1.
• Excellent communication and collaboration skills to drive product development.

Preferred Qualifications, Capabilities, and Skills

• Familiarity with data modeling, dimensional models, and semantic layers.
• Educational or on-the-job experience in a technical field (e.g., Computer Science, Engineering).