Pre-Sales Solutions Architect – Data

16 hours ago


Makati, Philippines SoftwareOne Full time

Pre-Sales Solutions Architect – Data & AI Location: SoftwareOne Makati, National Capital Region, Philippines Responsibilities Solution Design : Collaborate with cross-functional teams to gather requirements, design end-to-end data analytics solutions, and create architectural diagrams and documentation. AWS Expertise : Leverage your extensive knowledge of AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, and others to architect robust data analytics platforms. Data Modeling : Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance. Scalability and Performance : Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency. Data Integration : Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality. Security and Compliance : Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations. Troubleshooting and Optimization : Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation. Collaboration : Work closely with data engineers, data scientists, business analysts, and stakeholders to understand their needs and provide technical guidance. Innovation : Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data analytics capabilities. Qualifications Proven experience (3+ years) as a Solution Architect or similar role, with a focus on data analytics and AWS cloud technologies. Extensive hands-on experience with AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue or AWS quick sight etc. Strong understanding of data modeling, ETL processes, data warehousing, and data governance principles. Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation. Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges. Strong communication skills to effectively collaborate with technical and non-technical teams. Experience in working with Agile methodologies and version control systems. Proven ability to work independently and manage multiple priorities effectively. Education and Certification Bachelor or associate degree in IT discipline Certification in AWS Certified: Solution Architect and AWS Certified: Data Analytics Specialty are must or AWS Certified Professional or Associate What we need to see from you Report to practice lead. Pre-sales experience. Work within project team to develop and test data analytics platform and model. Design, develop, and unit test in accordance with established standards. Assist project team in analyzing and resolving technical issues. Assist in preparing manuals, specification, and other technical documentation. Package and support deployment releases. Assisting in the collection and documentation of user's requirements, development of user stories, and estimates. #J-18808-Ljbffr



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