Data Engineer / AI Tech Lead

Suzva Software Technologies; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Suzva Software Technologies is seeking a Hands-on Data Engineer & AI Tech Lead to design, build, and evolve a data platform for a strategic energy client. This remote, multilingual role focuses on Databricks and Microsoft Fabric on Microsoft Azure, with expansion into AI engineering, software development, and business process automation.

You will collaborate with client stakeholders to translate business challenges into scalable data solutions, leading end-to-end delivery from pipelines to

Qualifications

• Experience designing scalable data platforms and pipelines.
• Strong problem-solving and architectural thinking.
• Experience collaborating with stakeholders to translate business needs into technical solutions.

Responsibilities

• Design, build, and maintain scalable data platforms and pipelines using Azure Databricks and Microsoft Fabric.
• Develop robust ETL/ELT pipelines to ingest, transform, and integrate data from multiple sources.
• Implement data lakehouse architectures, data modelling, and data transformation frameworks.
• Work with Python, PySpark, and SQL to process large datasets efficiently.
• Establish data quality checks, monitoring, and error-handling mechanisms.

Skills

Python

PySpark

SQL

Data Engineering

Tools

Databricks

Microsoft Fabric

Azure

Job description

Hands-on Data Engineer & AI Tech Lead to work with a strategic energy client in Singapore. Mode: Remote. The role focuses on designing, building, and evolving the client's data platform using Databricks and Microsoft Fabric on Microsoft Azure, while extending into AI engineering, software development, and business process automation.

This role requires a strong combination of technical expertise, architectural thinking, and problem-solving skills. You will work closely with client stakeholders to understand business challenges, design scalable solutions, and deliver them end to end-from data pipelines and platform architecture to AI-driven applications, APIs, and automation.

As a trusted technical partner to the client, you will take ownership of complex technical challenges, recommend the right solutions, and drive implementation while ensuring quality, scalability, security, and business value.

Key Responsibilities

Data Engineering & Platform Development

• Design, build, and maintain scalable data platforms and pipelines using Azure Databricks and Microsoft Fabric.
• Develop robust ETL/ELT pipelines to ingest, transform, process, and integrate data from multiple sources.
• Implement data lakehouse architectures, data modelling, and data transformation frameworks.
• Work with Python, PySpark, and SQL to process large datasets efficiently.
• Establish data quality checks, validation frameworks, monitoring, and error-handling mechanisms.
• Optimise data pipelines, queries, and platform performance while managing costs.
• Implement data governance, security, access controls, and best practices for enterprise data management.

AI & Machine Learning Engineering

• Identify opportunities to apply AI, machine learning, and generative AI to address business challenges.
• Design and develop AI-powered solutions, including intelligent applications, predictive models, and workflow automation.
• Integrate AI capabilities into existing data platforms and business applications.
• Work with large language models (LLMs), retrieval-augmented generation (RAG), and AI orchestration frameworks where applicable.
• Develop proof of concepts and translate successful experiments into production-ready solutions.
• Evaluate AI solutions for accuracy, reliability, scalability, security, and business impact.

Software Engineering & API Development

• Design, develop, and maintain APIs, backend services, and applications to support business requirements.
• Build reusable, maintainable, and well-tested software components using Python and relevant frameworks.
• Integrate data platforms, AI services, and enterprise applications through APIs and event-driven architectures where appropriate.
• Develop automation solutions to streamline business processes and reduce manual effort.
• Follow software engineering best practices, including version control, code reviews, testing, CI/CD, and documentation.

Technical Leadership & Solution Architecture

• Lead technical discussions and provide hands-on guidance across data engineering, AI, and software development.
• Translate business requirements into technical designs, solution architectures, and implementation plans.
• Make informed technology and architecture decisions, balancing scalability, maintainability, performance, and cost.
• Establish coding standards, development practices, and engineering quality benchmarks.
• Mentor team members and collaborate with cross-functional teams to solve complex technical problems.
• Take ownership of technical delivery, proactively identify risks, and drive issues through to resolution.

Client Collaboration & Business Problem-Solving

• Work directly with client stakeholders to understand business objectives, technical challenges, and priorities.

Location -

Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,remote