We are seeking a highly skilled and experienced Solution Architect – Data Analytics for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges.

Responsibilities:

Solution Design: Collaborate with multi-functional teams to capture requirements, design end-to-end data analytics solutions, and build 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, impactful, 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 standard processes to protect sensitive data and ensure compliance with industry standards and regulations.

Solve 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 collaborators to understand their needs and provide technical mentorship.

Innovation: Stay up-to-date with industry trends and new technologies to recommend innovative solutions that improve our data analytics capabilities.

Skills:

• Good experience (5+ years) as a Solution Architect /Pre-sales or similar role, with a focus on data analytics and AWS cloud technologies, and experience and knowledge on Microsoft Azure Data Analytics technology is a plus.
• Extensive hands-on experience with AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc.
• Solid grasp 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.
• Good interpersonal skills to efficiently collaborate with technical and non-technical teams.
• AWS certifications (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified Data Analytics - Specialty) are a plus.
• Experience in working with Agile methodologies and version control systems.
• Demonstrable ability to work independently and prioritise efficiently.
• knowledge of Gen AI and AWS offerings like Bedrock and Q.