Data Engineering Tech Lead

Hello Visionary! We empower our people to stay resilient and relevant in a constantly evolving digital world. We're looking for curious minds who are passionate about transforming data into business value and enabling intelligent, data-driven decision-making. If you enjoy driving technical excellence, shaping data products, and collaborating across teams to solve complex business challenges, you might be the perfect fit for our team. We are looking for a Senior Data Engineer / Technical Lead – Data Products . You'll make a difference by: - Providing technical leadership for the definition, exploration, design, and implementation of Business Excellence (BX) data products. - Leading the discovery, analysis, and technical assessment of new data-product requirements and business use cases. - Translating business and functional requirements into scalable data models, technical designs, engineering stories, and implementation roadmaps in collaboration with Product Owners and Architects. - Driving technical discussions and stakeholder engagements with data owners, domain experts, source-system teams, and data consumers. - Identifying data-quality challenges, technical dependencies, feasibility concerns, and implementation risks at an early stage. - Guiding engineering teams through architecture reviews, design reviews, implementation support, and resolution of complex data-related issues. - Ensuring alignment with BX Data Platform architecture, governance frameworks, security standards, data-quality requirements, and operational best practices. - Establishing reusable engineering patterns, standards, frameworks, and best practices across data products. - Promoting knowledge sharing, mentoring, and technical capability development within the data engineering community. - Supporting backlog refinement, sprint planning, delivery execution, KPI tracking, and continuous improvement initiatives for BX data products. - Collaborating with cross-functional business and technology teams to ensure successful delivery of scalable and reliable data solutions. You'll win us over by: - Holding a Bachelor’s or master’s degree in computer science , Engineering, Information Technology, Data Science, or a related discipline. - Having 5+ years of experience in Data Engineering, Data Platforms, Data Architecture, or related areas. - Demonstrating strong expertise in designing and delivering enterprise-scale data products and data solutions. - Possessing hands-on experience in data modeling, data integration, data transformation, and data pipeline design. - Having a solid understanding of modern data platform architectures, data governance, and metadata management practices. - Experience in gathering, analyzing, and translating business requirements into technical designs and implementation plans. - Strong experience working with cloud-based data platforms and modern data engineering technologies. - Excellent understanding of data quality management, data lineage, security, compliance, and operational standards. - Proven experience leading technical discussions with multiple stakeholders across business and technology teams. - Strong problem-solving and analytical capabilities with the ability to handle complex data challenges. - Excellent communication, stakeholder management, and collaboration skills. You'll stand out if you have: - Experience working with enterprise Data Lakes, Data Warehouses, and Data Mesh architectures. - Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) . - Expertise in Python, SQL, Spark, or other modern data engineering technologies . - Knowledge of Data Governance, Master Data Management (MDM), and Metadata Management solutions. - Experience working in Agile product delivery environments. - Exposure to Analytics, AI/ML, and advanced reporting use cases. - Experience mentoring engineers and leading technical communities of practice. - Knowledge of KPI frameworks and product performance measurement. - Ability to influence technical decisions and drive engineering best practices across teams. We'll support you with: - Flexible and hybrid working opportunities . - A diverse, inclusive, and collaborative culture . - Continuous learning and development opportunities . - Exposure to innovative digital transformation and data-driven initiatives. - Opportunities to work with global stakeholders and cutting-edge technologies. - An attractive and competitive compensation package . Join us and be yourself! This role is based in Pune , where you'll have the opportunity to work on strategic data products that enable business transformation and drive digital innovation at scale. We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. We're Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at: www.siemens.com/careers