Technical Architect - Data Engineering & Software Solutions

Uplers; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A technology consulting firm is seeking a Technical Architect with 9-15 years of experience. Responsibilities include leading data engineering and software architecture solutions, ensuring high-performance systems, and mentoring development teams. The ideal candidate has deep knowledge of Microsoft Azure and related technologies. This role offers remote flexibility with a dynamic work culture.

Benefits

Work with cutting-edge technologies

Flexible work options

Culture that values innovation and growth

Qualifications

• 9+ years of experience in software and data engineering architecture.
• At least 5 years focused on Microsoft Azure cloud services.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead the design and implementation of scalable data platforms.
• Define architecture and technical strategy for software systems.
• Mentor development teams and ensure engineering standards.

Skills

Azure

J2EE

Python

Java

AWS

SQL

NoSQL

Tools

Azure Data Factory

Synapse Analytics

Databricks

Event Hub

Cosmos DB

Job description

Technical Architect - Software & Data Engineering

Experience: 9 - 15 Years Exp

Salary: Highly Competitive

Preferred Notice Period: 30 Days

Shift: 10:00 AM to 7:00 PM IST

Opportunity Type: Remote (Noida)- Remote 6 Months, Then Hybrid (Flexible)

Placement Type: Permanent

Note: This is a requirement for one of Uplers' Clients

Must have skills required: Azure, LLD, Architecture, J2EE OR Python or Java, AWS, SQL OR NoSQL

Nuaav (One of Uplers' Clients) is Looking for: Technical Architect who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description
The Technical Architect will lead the design and implementation of scalable, reliable, and high-performance architecture primarily for data engineering and software solutions. This role demands deep expertise in cloud-native data platforms (especially on Microsoft Azure), full-stack software architecture, and AI-driven technologies. The architect will collaborate closely with business stakeholders, data scientists, product teams, and engineering squads to translate business needs into technical strategies, ensuring robustness, maintainability, and innovation.

Key Responsibilities:

• Architect and design end-to-end scalable data platforms on Azure covering ingestion, transformation, storage, and analytics layers.
• Define and drive architecture and technical strategy for software systems, including full-stack development using modern front-end and back-end technologies.
• Lead implementation of cloud-native data solutions using Azure Data Factory, Synapse Analytics, Databricks, Event Hub, Cosmos DB, and related services.
• Build and maintain reusable, modular components and APIs supporting business needs.
• Ensure security, compliance, data governance, and performance optimization across data and software architectures.
• Mentor and provide technical guidance to development teams, fostering continuous learning and high engineering standards.
• Oversee software development lifecycle including code reviews, quality assurance, CI/CD pipelines, and deployment strategies.
• Collaborate with cross-functional teams to ensure alignment of technology solutions with business goals and customer needs.
• Integrate AI/ML capabilities into data workflows or software solutions to enhance predictive analytics and decision-making.
• Stay abreast of emerging technologies, industry trends, and best practices to continuously evolve architecture and engineering standards.
• Lead proof-of-concepts, architecture reviews, and contribute to the technical roadmap.

Required Skills & Experience:

• 9+ years of experience in software and data engineering architecture, with at least 5 years focused on Microsoft Azure cloud services.
• Deep knowledge of Azure data services: Azure Data Factory, Synapse Analytics, Databricks, Event Hub, Stream Analytics, Cosmos DB, Azure SQL Database, Data Lake Storage.
• Proven expertise in building scalable data architectures including data lakes, data warehouses, and real-time/streaming data pipelines.
• Hands-on experience with big data technologies such as Spark, Hadoop, Delta Lake.
• Strong software development skills in full-stack technologies, including Java and modern front-end frameworks.
• Proficiency in designing robust back-end architecture and APIs.
• Experience with data modeling, ETL/ELT pipelines, distributed computing, SQL, and CI/CD DevOps practices for data and software.
• Knowledge of data governance, compliance, and security frameworks.
• Exposure to AI/ML pipelines and integrating AI/ML in cloud architecture is a plus.
• Excellent communication, stakeholder management, and leadership skills.
• Consulting or client-facing experience is an advantage.

Why Join Nuaav?

• Work with cutting-edge technologies and AI-driven projects in a boutique consulting setting.
• Engage directly with clients on global digital transformation initiatives.
• Be part of a culture that values innovation, agility, personalized growth, and thought leadership.
• Flexible work options: Noida / Remote / Hybrid.

EEO Statement: Nuaav is an equal opportunities employer and welcomes applications from diverse candidates.