Experienced Solution Architect - Data Engineering Expertise in Cloud-Based Technologies and Databricks Implementation

Introduction to Capgemini and the Role Capgemini, a global leader in technology and business transformation, is seeking an experienced Solution Architect - Data Engineering to join our team. As a Solution Architect, you will have the opportunity to work with a multinational technology company, focusing on various technological domains such as artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. Your expertise in Databricks and cloud-based data engineering will be crucial in driving the success of our clients. Key Responsibilities As a Solution Architect - Data Engineering, your primary responsibilities will include: Providing technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment. Identifying and driving new initiatives that enable customers to turn their data into actionable business value and align these initiatives with their business outcomes for continued success. Architecting production-level workloads, including end-to-end pipeline load performance testing and optimization. Delivering tutorials and training to drive community adoption (including hackathons, conference presentations, etc.). Working closely with Engineering and Product Management to drive the direction of the Databricks product. Contributing to the Databricks SME community. Required Skills and Qualifications To be successful in this role, you will need: Hands-on and technical expertise with Apache Spark. Proven experience in designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, and OLAP. 5+ years of experience working as a Software Engineer or Data Engineer, with expertise in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions. Comfortable programming in Python, Scala, or Java. Experience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP. Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g., Jenkins). Excellent communication skills and comfortable presenting to strategic stakeholders and leadership. Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting. A passion for learning new technologies and making customers successful. Preferred Qualifications While not required, the following qualifications are preferred: Data Science or ML Engineer experience with model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, and using tools like MLFlow. Experience with other cloud-based data engineering technologies and tools. Certifications in Databricks, Apache Spark, or other relevant technologies. Skills and Competencies To excel in this role, you will need to possess the following skills and competencies: Strong technical expertise in data engineering and cloud-based technologies. Excellent communication and presentation skills. Ability to work closely with customers and internal stakeholders to drive business outcomes. Strong problem-solving and analytical skills. Ability to learn new technologies and adapt to changing business needs. Career Growth Opportunities and Learning Benefits At Capgemini, we are committed to the growth and development of our employees. As a Solution Architect - Data Engineering, you will have access to: Training and development programs to enhance your technical skills and knowledge. Opportunities to work on complex and challenging projects with leading clients. A collaborative and dynamic work environment that encourages innovation and creativity. A global network of professionals with diverse backgrounds and expertise. Work Environment and Company Culture At Capgemini, we prioritize the well-being and satisfaction of our employees. We offer: Flexible work arrangements, including remote work options. A comprehensive benefits package, including healthcare, dental, vision, and mental health programs. Financial well-being programs, such as 401(k) and Employee Share Ownership Plan. Paid time off and paid holidays. Paid parental leave and family-building benefits. Social well-being benefits, including subsidized backup child/elder care and tutoring. Mentoring, coaching, and learning programs. Employee Resource Groups and diversity initiatives. Compensation, Perks, and Benefits We offer a competitive salary and benefits package, including: A comprehensive benefits package, including healthcare, dental, vision, and mental health programs. Financial well-being programs, such as 401(k) and Employee Share Ownership Plan. Paid time off and paid holidays. Paid parental leave and family-building benefits. Social well-being benefits, including subsidized backup child/elder care and tutoring. Mentoring, coaching, and learning programs. Employee Resource Groups and diversity initiatives. Conclusion If you are a motivated and experienced Solution Architect - Data Engineering with expertise in cloud-based technologies and Databricks implementation, we encourage you to apply for this exciting opportunity. As a global leader in technology and business transformation, Capgemini offers a dynamic and collaborative work environment, comprehensive benefits, and opportunities for growth and development. Join our team and contribute to the success of our clients and the growth of our organization. Ready to Apply? If you are ready to take your career to the next level and contribute to a thriving team, we encourage you to apply now. Please submit your application, including your resume and a cover letter, to be considered for this exciting opportunity. Apply for this job