Senior Data Lead Azure Data Factory (ADF), Databricks

Job description

We are looking for a highly motivated Data Engineer to design, build, and optimize scalable data solutions that power enterprise analytics and business decision-making. The ideal candidate combines strong software engineering skills with deep expertise in modern cloud-based data platforms, automation, and data governance. Key Responsibilities . Key Responsibilities Build & Model Data Solutions Design, develop, and maintain scalable data pipelines and data models that support analytics, reporting, and business intelligence initiatives. Implement efficient data ingestion, transformation, and storage solutions for structured and unstructured data. Ensure data quality, consistency, and reliability across the data ecosystem. Automate & Deploy Develop and maintain CI/CD pipelines to enable automated testing, deployment, and monitoring of data solutions. Drive Infrastructure-as-Code and deployment automation practices to ensure efficient and reliable delivery. Partner with development and platform teams to streamline release processes and improve operational efficiency. Innovate & Improve Apply software engineering best practices to solve complex data engineering challenges. Introduce innovative approaches for processing, managing, and analyzing large-scale datasets. Continuously evaluate new technologies and frameworks to improve platform capabilities and performance. Own the Data Platform Optimize data platforms for scalability, performance, security, and reliability. Monitor and troubleshoot data pipelines, workflows, and platform components. Ensure adherence to data governance, compliance, and security standards throughout the data lifecycle. Collaborate & Document Establish and promote data engineering standards, best practices, and coding guidelines. Create and maintain clear technical documentation, architecture diagrams, and operational procedures. Collaborate with cross-functional teams including Data Scientists, Analysts, Product Owners, and Architects to deliver business value. Skill Requirements Required Skills & Experience Technical Skills Strong experience with Python for data engineering and automation. Hands-on experience with Databricks and modern data processing frameworks. Expertise in Azure Cloud Services and cloud-native data architectures. Proficiency in Azure DevOps , Git , and CI/CD implementation. Experience designing and maintaining scalable data pipelines and data models. Strong understanding of data warehousing, ETL/ELT, and data lifecycle management. Knowledge of data governance, data quality, and security best practices. Professional Skills Strong analytical and problem-solving abilities. Software engineering mindset with a focus on clean, maintainable, and reusable code. Excellent troubleshooting and debugging skills. Strong communication and documentation capabilities. Ability to work effectively in a collaborative, agile environment. Preferred Qualifications Experience with enterprise-scale data platforms and large datasets. Knowledge of monitoring, observability, and performance optimization techniques. Familiarity with Infrastructure-as-Code and cloud automation practices. Experience working in Agile/Scrum delivery models. Our Tech Stack Cloud: Microsoft Azure Data Platform: Databricks Programming: Python DevOps: Azure DevOps Version Control: Git Deployment: Fully Automated CI/CD Pipelines Other Requirements null Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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