Big Data Solution Architect

• Bachelor s degree in Computer Science or a related stream Bachelor s degree in Computer Science or a related stream Responsibilities Design and architect data solutions and frameworks for clients

• Respond to pre-sales RFPs and draft Big Data solutions
• Compare AWS data tools, approaches, techniques, best practices etc
• Lead and own architectural aspects of designing and building multi-tenanted modern data warehouses, business intelligence, predictive and prescriptive analytics and visualization platform
• Ensure security, data isolation, quality, integrity, extensibility, adaptability, scalability, availability and understandability of this platform
• Understands technical, business and organizational requirements of a modern data warehouse and business intelligence platform
• Lead discussions with stakeholders on software requirements and design aspects related to key technical components, frameworks, interfaces etc
• Mentor/coach junior developers and leads in the team(s) during design review, implementation and use of best practices and guidelines
• Compile and write technical design documentation related to data warehouse design and architecture
• Effectively communicate and resolve issues with cross-functional groups to escalate issues or changes in scope
• Understands data volumes and customer reporting SLAs and provide infrastructure sizing needs and orchestration solutions

Required Skill Set and Experience

• 5+ years of experience in Big Data pre-sales, combining customer facing, commercial and technical capabilities
• 3+ years of experience in an Architect role which should include architecting solutions using Big Data technologies
• Experience leading customer engagements exploring the requirements and mapping solutions
• Passion for problem solving and enthusiasm for positive customer outcomes
• Proven experience architecting scalable, performance-oriented solutions using emerging Big Data technologies and traditional ETL tools
• Hands-on experience in any of the Hadoop distribution/Hortonworks, Cloudera, etc
• along with Kafka, Spark, Cloud Data Flow, Pig, Hive, Sqoop, Oozie etc
• & RDBMS & Nosql DB
• Good understanding of relational DBs (MySQL/Oracle), Columnar DBs (Infobright), ETL/ELT tools (Informatica Power Center/Scoop)
• Understanding of installation, deployment of large clusters
• Extensive experience working with very large data sets and unstructured data, including data cleansing/transformation
• Understanding of design/architectural patterns, along with cloud-based deployment patterns
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