Associate Director Data Lake & Warehousing Presales Architect

As a highly skilled and experienced professional in data warehousing and data center architecture, your role involves leading and supporting various initiatives. Your expertise in Data Warehousing, Data Lakes, Data Integration, and Data Governance, coupled with hands-on experience in ETL tools and cloud platforms like AWS, Azure, GCP, and Snowflake, is crucial for this position. You are expected to possess strong presales experience, technical leadership capabilities, and the ability to handle complex enterprise deals across different geographies. Your key responsibilities include: - Architecting and designing scalable Data Warehousing and Data Lake solutions - Leading presales engagements and presenting proposals and solution designs to clients - Collaborating with cross-functional teams and estimating efforts and resources for customer requirements - Driving Managed Services opportunities and enterprise deal closures - Engaging with clients globally and ensuring alignment of solutions with business goals and technical requirements - Maintaining high standards of documentation and presentation for client-facing materials To excel in this role, you are required to have: - A Bachelors or Masters degree in Computer Science, Information Technology, or a related field - Certifications in AWS, Azure, GCP, or Snowflake (advantageous) - Experience in consulting or system integrator environments - Strong understanding of Data Warehousing, Data Lakes, Data Integration, and Data Governance - Hands-on experience with ETL tools and exposure to cloud environments - A minimum of 2 years of presales experience - Experience in enterprise-level deals and Managed Services - Ability to handle multi-geo engagements - Excellent presentation and communication skills - Solid grasp of effort estimation techniques for customer requirements This is a challenging yet rewarding role that requires a combination of technical expertise, leadership skills, and excellent communication abilities. If you meet the qualifications and are excited about the opportunity to work on cutting-edge data projects, we encourage you to apply.,