AWS Data Architect

You are looking for an experienced and skilled Technical Leader to join our AWS Data Engineering practice as an AWS Data Architect. In this role, you will be responsible for driving the Data Engineering strategy, architecting scalable data solutions, and leading the implementation of data projects on AWS. Your deep understanding of AWS services and data engineering best practices will be crucial for success. Your main responsibilities will include establishing and enhancing the company's Data Engineering Services Practice, working closely with senior stakeholders to understand business needs, and delivering technical solutions. This role is ideal for a technically proficient individual who thrives in a dynamic and fast-paced environment. As a Technical Leader, you will act as a visionary leader, conduct proof-of-concept projects, make informed architectural decisions, guide and mentor engineers, collaborate with sales and marketing teams, and design and implement various data solutions. You will also oversee project implementation, engage in strategic discussions with customers, ensure data quality and security, and drive technical innovation by staying updated with the latest trends and advancements in data engineering and AWS technologies. To be successful in this role, you should have a Bachelor's or Master's degree in Engineering or Technology, 15+ years of technical hands-on experience in the Data space, and at least 4 end-to-end implementations of large-scale data projects. Proficiency in AWS data services, AWS architecture, SQL, Python, data warehousing concepts, ETL/ELT processes, and data modeling is essential. Experience with data integration, data serialization formats, data pipelines optimization, and data governance frameworks is also required. Joining our team will provide you with the opportunity to work in a high-growth startup in the AI, Decision Science, and Big Data Domain, contribute to the digital transformation of our customers, and collaborate with a diverse group of techies. Flexible working options are available to foster productivity and work-life balance.,