SR. TECHNICAL LEAD

Job Description Job Description (Posting). About HCLTech HCLTech is a global technology company, spread 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. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving. Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040. To learn more about how we can supercharge progress for you, visit Senior Data Lead with Azure Data Factory (ADF), DataBricks Job Summary The Senior Technical Lead will be responsible for leading technical teams and overseeing the implementation of projects related to Snowflake, Azure Data Factory (ADF), and Data Bricks. The role involves ensuring the successful delivery of data solutions and optimizing data pipelines for efficient performance. (1.) Key Responsibilities 1. Lead and manage technical teams, providing guidance and support in the implementation of snowflake, azure data factory (adf), and data bricks projects. 2. Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements. 3. Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions. 4. Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance. 5. Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects. 6. Collaborate with cross functional teams to integrate data solutions with existing systems and applications. 7. Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation. Skill Requirements 1. Proficiency in snowflake, including data modeling, querying, and performance optimization. 2. Strong experience in azure data factory (adf) for data integration and orchestration. 3. Handson knowledge of data bricks for data engineering, data processing, and machine learning. 4. Ability to design, develop, and optimize complex data pipelines for etl processes. 5. Strong problem-solving skills and the ability to troubleshoot data pipeline issues. 6. Excellent communication skills to interact with technical and nontechnical stakeholders effectively. 7. Strong leadership skills to guide and motivate technical teams towards project delivery and success. 8. Experience in agile methodologies and project management practices for efficient project execution. Certifications: Relevant certifications in Snowflake, Azure Data Factory (ADF), DataBricks are a plus. Skill (Primary) Data Fabric-Cloud Datawarehouse-Snowflake