| Mode of Interview: Telephonic+Skype JOB DESCRIPTION: MUST HAVES:
• Java/Spring/Scala background.
• Hands-on development and solution architecture experience with Big data technologies.
• Must have experience with Cloudera stack.
The solution architect role needs to design the DSL platform and using this design more than 10 developers will build it. The role requires the guy to know how data ingestion, data transformation and data access works in big data platform (not high level but details on file formats, ingestion strategies, how updates will be handled etc). What partitioning strategies can be applied and needs to be very strong in scala language . The role needs to be hands on with advance skillset in putting together spark jobs.
Position Description
RFIT data management is seeking a well-qualified individual for Solution Architect - Big Data role to serve as the lead architect and expert for big data platform architecture and business solutions. This individual will deal with complex, interrelated applications and systems being designed for today's big data platforms, and will work with rapidly evolving technologies and internal stakeholders to analyze and define unique and innovative solutions for achieving strategic business goals.
Job Responsibilities
• The individual will provide thought leadership and drive architecture and the design of Big Data Information Management & Analytics solutions. They will demonstrate the understanding of concepts, best practices and functions to implement a Big Data stack in a regulated enterprise setting.
• Ensure alignment of the enterprise architecture and data management strategies with the business strategies and goals.
• Ensures effective design and development of system architectures through embedded Enterprise Architects; employing effective governance methods for transparency and communication.
• Broad based experience in deploying data management solutions
• Identifies creative, technology-based opportunities to improve service, reduce costs, and increase revenues with business partners and vendors.
• Design and implement scalable Big Data architecture solutions for various application needs.
• Analyze multiple sources of structured and unstructured data to propose and design data architecture solutions for scalability, high availability, fault tolerance, and elasticity.
• Set architectural vision and direction across a matrix of teams. Develop conceptual, logical and physical design for various data types and large volumes.
• Implement Big Data systems in alignment with enterprise architecture and infrastructure guidelines and standards.
• Implement security, encryption best practices for Big Data environments.
• Assist architects in the design and implementation of high performance systems with large volume data integration processes, database, storage and provisioning.
• Work closely with business users at a technical and user level, to design and produce solutions.
Qualifications
• MS / BS degree in Computer Science, Mathematics, Engineering or related field.
• 10+ years of experience as a technology leader designing and developing data architecture solutions with more than 3+ years specializing in big data architecture or data analytics.
• Strong leadership and management skills.
• Ability to communicate effectively with technology experts in various computing domains. BI, analytics, SOA, BPM, data warehousing.
• Ability to create a productive environment that promotes initiative, innovation, and continual improvement.
• Java/Scala background
Experience
• Three plus years of relevant technology management experience with Cloudera Stack, preferably in the Financial Services industry, in Enterprise Architecture and Data Management programs as well as managing senior level individuals, in a multi-line business environment.
• Experience with Big Data and No SQL platforms and technologies, specifically hands-on experience with one or more major Hadoop distributions and various ecosystem components.
• Must have experience with Impala, Hive, Hbase, Sqoop, Flume.
• Experience designing and implementing large scale enterprise applications and data-centric platforms.
• Hands on experience in the design of successful very large business data analytics solutions. Ability to recognize and implement common data patterns and best practices.
• Experience in designing and developing high-volume mission critical transactional data integration solutions.
• Strong, in-depth experience in data modeling and experience with business intelligence systems (dimensional modeling, data mining, predictive analytics).
• Hadoop Certification from an established distribution vendor
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