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Company Description GAIRAA Technology Solutions Private Limited (Generative AI Research and Analysis) specializes in transforming AI ambitions into robust, production-ready systems for enterprises and private equity portfolios. The company focuses on AI solutions, applied research, governed data platforms, and SAP intelligence to drive measurable business outcomes. GAIRAA works closely with clients to design and implement scalable, secure, and compliant data and AI ecosystems. Team members collaborate across disciplines to deliver innovative solutions that align with strategic goals and operational realities. Role Description This full-time, on-site Azure Data Architect & Data Engineering Lead/Principal Architect role is based in India/Onsite. The person in this position will lead the design and implementation of Azure-based data architectures, including data platforms, data warehouses, and analytics solutions. Daily responsibilities include defining data models, overseeing ETL/ELT pipelines, ensuring data quality and governance, and collaborating with stakeholders to translate business requirements into technical designs. The role involves guiding data engineering teams, reviewing solution designs and code, optimizing performance and cost, and enforcing security and compliance standards across the data ecosystem. The architect will also evaluate new Azure and data engineering capabilities, contribute to best practices, and support AI and advanced analytics initiatives. Qualifications Strong data architecture skills, including experience with Data Architecture and Data Modeling on Azure or similar cloud platforms.Hands-on expertise in data integration, including Extract Transform Load (ETL) processes and Data Warehousing design and implementation.Experience with Data Governance practices, such as data quality frameworks, metadata management, access control, and regulatory compliance.Proficiency with Azure data services (e.g., Azure SQL Database, Synapse, Data Factory, Databricks, Azure Storage) and modern data platform patterns.Demonstrated ability to lead technical teams, mentor data engineers, and drive solution delivery in complex, enterprise environments.Strong communication and stakeholder management skills, with the ability to translate business needs into clear technical requirements and architectures.Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience.Experience supporting AI, machine learning, or advanced analytics workloads on governed data platforms is highly beneficial. Key Responsibilities Design and implement scalable Azure Data & Lakehouse architectures. Develop and manage data pipelines using Azure Databricks, PySpark, SQL, and Azure Data Factory. Design data ingestion, transformation, integration, and ETL/ELT solutions. Work with ADLS Gen2, Delta Lake, Azure Synapse, Azure SQL, and other Azure data services. Implement batch and incremental data processing, CDC, and SCD. Perform Databricks/Spark, SQL, and pipeline performance optimization. Implement data quality, validation, security, governance, and lineage. Develop CI/CD pipelines using Azure DevOps and Git. Troubleshoot production issues and provide technical solutions. Mandatory Skills Azure Databricks Azure Synapse PySpark / Apache Spark Python & Advanced SQL Azure Data Factory ADLS Gen2 Delta Lake / Lakehouse Data Modeling & Data Warehousing ETL/ELT & Data Integration Azure DevOps / CI-CD Performance Tuning Additional Skills Preferred Unity Catalog Microsoft Fabric Snowflake Kafka / Event Hubs Power BI Data Governance & Security For 15+ Years Lead/Principal Own end-to-end data architecture and solution design. Lead technical discussions and architecture reviews. Mentor engineering teams and define technical standards. Manage stakeholder communication and provide architecture guidance. For 8+ Years Senior Strong hands-on development experience with Databricks and PySpark. Build and optimize enterprise data pipelines. Participate in solution design, development, testing, and production support. Key Focus: Candidates should have strong hands-on Azure Databricks + Data Engineering experience, with proven experience in enterprise-scale data platforms. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.