Hadoop Architect

Job Description

We are seeking a self-motivated Hadoop (MAPR) architect to drive innovations on technology interoperable platforms with MAPR for enterprise customers in diverse industry verticals, focusing on MAPR with real-time analytics, Next Best Action, and Internet of Everything.

Responsibilities :

• Design and implement solutions to address business problems in various industry verticals.
• Drive Proof of Concept (POC) and Proof of Technology (POT) evaluation on interoperable technology platforms.
• Train and mentor developers towards solution development and POC / POT execution.
• Support presales engineering activities for MAPR Hadoop Big Data based RFPs.

Qualifications : Technical :

• Design and implementation of MAPR-based Big Data solutions, including leadership role in design to develop shared / reusable components.
• Experience managing the full life-cycle of a Big Data solution, including requirements analysis, platform selection, technical architecture design, application design, development, testing, and deployment.
• MAPR Certified is preferred.
• Minimum 10 years of solid IT consulting experience in data warehousing, operational data stores, and large-scale implementations.
• Using Big Data technology and customer's business requirements, design and document a comprehensive technical architecture.
• Analysis and documentation of source system data sources from traditional (RDBMS) and new data sources (web, machine-to-machine, geospatial, etc.).
• Using business SLAs and technical architecture, calculate performance and volumetric requirements for infrastructure components.
• Design an architecture using cloud and / or virtualization technology.
• Plan and execute a technology proof-of-concept (POC) using Big Data technology.
• Experience handling Structured and Unstructured data using Big Data (tools, best practices, and industry trends).

Hands-on technical competences :

• MAPR, Hadoop, Hive, HBase, Pig, MapReduce, and other Hadoop eco-system components.
• Data warehouse, BI, and ETL tools.
• Detailed knowledge of RDBMS data modeling and SQL.

Non-Technical :

• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work effectively under pressure with constantly changing priorities and deadlines.
• Familiarity with project management and systems development life cycle processes, tools, concepts, and methodologies is a plus.
• Ability to work independently and as a team member.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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