1+ months
2018-06-122018-09-12

Big Data Solution Architect - SVP

Citigroup
New York, NY
  • Primary Location: United States,New York,New York
  • Education: Bachelor's Degree
  • Job Function: Technology
  • Schedule: Full-time
  • Shift: Day Job
  • Employee Status: Regular
  • Travel Time: Yes, 10 % of the Time
  • Job ID: 18030996

Description


The Big Data & Analytics Solution Architect will be responsible for requirements analysis, platform/tool selections, and design of reference & technical architectures to guide Citi sectors & lines of businesses to create successful solutions on Citis Big Data Platform. The candidate should have hands on experience with solution architecture, Big Data technologies, and working knowledge of containerization / virtualization and cloud technologies.
Responsibilities:
- Build and manage solution architecture function to guide applications to build successful business solutions on Citis Big Data Platform.
- Establish architecture blue prints to support reusable design templates and principles.
- Act as internal subject matter expert for Citis Big Data Platform to support various project types offloading workload from massively parallel processing platforms, real-time applications, analytics and scoring solutions, etc.
- Engage with partner teams, software vendors, and application teams to conceive and prototype technical solutions aligned to business requirements.
- Provide inputs and recommendations into Big Data Platform roadmap to build incremental capabilities


Qualifications




- 5+ years of experience with Big Data architectures, solutions and analytical techniques.

- 10+ years overall IT experience and software architect functions.

- Able to perform detailed analysis of business problems and technical environments and use this in designing solutions.

- Hands-on knowledge of the Big Data technologies Hadoop, Spark, Hive, Impala, HBase, Cloudera Manager, Sqoop, Flume, Pig, etc.

- Solid understanding of data architecture & life cycle phases data acquisition, data quality management, data governance, metadata management, etc.

- Experience in large scale data warehouse implementations and knowledge of ETL technologies like Talend, AbInitio, etc.

- Experience with enterprise architecture, high availability, fail-over, disaster recover planning and implementations.

- Experience with software development life cycle, agile and waterfall models.

- Understanding of major programming/scripting languages like Java, PHP, Python, R, etc.

- Understanding of container technologies like Docker, OpenShift, Mesos, Blue Data, etc.

- Knowledge of private and public cloud technologies including working experience of one or more major public Cloud service provides Amazon, Microsoft, Google, or IBM.

- Understanding of analytics concepts, tools, and model development life cycle.

- Experience with object storage, software based block storage, etc.

- Experience with data wrangling tools, and business intelligence & reporting technologies Paxata, MicroStrategy, Cognos, Datameer, Tableau, etc.

- Able to document use cases, solutions and recommendations.

- Able to work creatively and analytically to solve complex business problems.

- Excellent written and verbal communication skills.

- Capable of building, articulating, and presenting new ideas to technical, non-technical, and business communities.

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Big Data Solution Architect - SVP

Citigroup
New York, NY

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