Requirements

Additional Requirements

• Age 40 to 60 years

• Experience in DevOps to build CI/CD pipelines
• Experience in AGILE development, SCRUM and Application Lifecycle Management (ALM)
• Technical architectural and development experience on Massively Parallel
• Processing technologies, such as Redshift, Hadoop, Spark, Teradata, Netezza
• Familiarity with technical architectural experience on Data Visualization technologies, such as Tableau, Qlik, etc.
• Technical architectural experience on data modeling, designing data structures for business reporting
• Deep understanding of Advanced Analytics, such as predictive, prescriptive, etc.
• Working knowledge of cloud components: Software design and development, Systems Operations / Management, Database architecture, Virtualization, IP Networking, Storage, IT Security
• Technical prowess and passion-especially for public Cloud, modern Application design practices and principles. Accrediations on AWS preferred.
• Oversight experience on major transformation projects and successful transitions to operations support teams
• Presentation skills with a high degree of comfort to both large and small audiences
• Hands-on AWS professional
• Possess thorough understanding of AWS technical landscape, business drivers, and emerging computing trends in the industry
• AWS Professional/Associate Solutions Architect certification (or similar) along with AWS Specialty level certification(s) in Big Data or Data & Analytics space
• Certified AWS Professional/Associate Solutions Architect or similar AWS Professional level certification
• 3+ years of technical management and thought leadership role with a Global/Regional System Integrator delivering success in complex data analytics projects on AWS
• 3+ year’s design and/or implementation of highly distributed applications on AWS•
• 2+ years’ experience in “migrating” on premise workloads (especially EDW, Data Lake, Analytic sandboxes) to AWS
• Demonstrated experience of designing and building Big Data solutions on AWS stack leveraging Redshift, EMR, Glue, Lambda, Athena, Sagemaker, etc.
• 3+ years experience using Python as programming and scripting language

Responsibilities & Context

• Be the force behind shaping the future of our AWS practice by leading innovation efforts and developing Intellectual Property
• Leading the attainment of AWS competencies, specializations, certifications and accreditation by MazeGeek
• Lead efforts on listing MazeGeek solutions on AWS marketplace
• Lead the development of minimum viable products for MazeGeek & AWS joint innovation solutions
• Advise clients on AWS optimized architectures for enterprise data management, craft strategy and roadmaps for on-prem to Cloud migration initiatives
• Be hands-on in developing prototypes and conducting Proof of Concepts
• conduct architectural reviews and develop cloud economic models
• Act as a trusted advisor to client on all things AWS
• Assist pre-sales team in client pitches
• Participate in technical interactions with client’s executives and senior management
• Mentor client/MazeGeek resources on AWS and its services
• Evaluate and analyze new commercial/open-source services/technologies offered by AWS, and other Big Data technology vendors

Interface with AWS Solution Architects and Engineers on:

• Development of reference architectures and design pattern library for typical AWS based solution implementations
• Creation of MazeGeek’s new services capabilities, packaged solution offerings
• Advise on AWS set up, security and role based access implementation, and network optimizations
• Advise on DevOps strategy and methodology
• Create customer facing pre-sales collateral such as demos, technical presentations

Skills & Expertise