Senior Data & AI Architect: Databricks, GenAI, AWS

SmartRecruiters, Inc.; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Nagarro is seeking an experienced Data & AI Architect to design scalable, secure, and governed data and AI solutions across the enterprise. The role focuses on Databricks, AWS, and modern data platforms, with hands-on work in PySpark, SQL, and GenAI capabilities to enable data products and AI agents.

The ideal candidate will define architecture patterns, govern data pipelines, and collaborate with data engineers, scientists, and stakeholders to translate requirements into scalable solutions

Qualifications

• 8+ years of overall experience in Data Engineering / Data Architecture / Cloud Architecture.
• 4+ years of experience with Databricks and modern cloud data platforms.
• Hands-on experience with AWS and modern data/AI technologies.
• Strong experience in Databricks architecture and development.
• Strong hands-on experience with AWS cloud platform and services.
• Strong understanding of Enterprise Data Architecture.
• Strong experience with PySpark and SQL.
• Experience with AWS Bedrock and GenAI/AI-agent solutions.
• Strong knowledge of data modelling, data governance, DBMS, data warehouses, and data marts.
• Experience in ETL/data pipeline architecture and development.
• Experience with SQL query optimization and performance tuning.
• Exposure to designing and consuming REST/API-based integrations.
• Experience in designing and enabling enterprise data products.

Responsibilities

• Design and implement scalable enterprise data architectures using Databricks and AWS platforms.
• Define data architecture patterns covering data ingestion, processing, storage, transformation, serving, and consumption.
• Design and optimize data models, data marts, data warehouses, and enterprise data platforms.
• Establish and implement data governance, security, quality, lineage, and access-control frameworks. Develop and optimize data processing pipelines using PySpark, SQL, and ETL frameworks. Work with Databricks capabilities for data engineering, analytics, AI/ML, and data product enablement.
• Design cloud-native and serverless solutions on AWS using appropriate AWS services.
• Architect and integrate solutions using APIs and API-based data integrations.
• Work with AWS Bedrock to design and enable GenAI and AI-agent-based solutions.
• Provide architecture guidance for AI Agents, Databricks Genie, and enterprise GenAI use cases.
• Design solutions that enable reusable, scalable, and governed data products for business and analytical consumption.
• Perform SQL query optimization, performance tuning, and data-processing optimization.
• Collaborate with Data Engineers, Data Scientists, AI/ML Engineers, Product Owners, and business stakeholders to translate business requirements into scalable technical solutions.
• Define architecture standards, reusable patterns, technical documentation, and best practices.
• Conduct technical reviews and provide guidance to development teams on architecture, performance, scalability, and maintainability.
• Ensure solutions align with enterprise security, governance, compliance, and cloud architecture standards.

Skills

Data Engineering

Data Architecture

Cloud Architecture

Databricks

AWS

PySpark

SQL

GenAI

AI Agents

Tools

Databricks

Databricks Genie

APIs

AWS

Job description

Nagarro is seeking an experienced Data & AI Architect to design scalable, secure, and governed data and AI solutions across the enterprise. The role focuses on Databricks, AWS, and modern data platforms, with hands-on work in PySpark, SQL, and GenAI capabilities to enable data products and AI agents.

The ideal candidate will define architecture patterns, govern data pipelines, and collaborate with data engineers, scientists, and stakeholders to translate requirements into scalable solutions