Description
Analytics & Data Management Solution Architects The solution architects work with data scientists and technology experts to design unique solutions for our customers. This is achieved through interactive requirements gathering, determination of best fit solutions based on problem solving approaches, integrated solution design based on multiple technology types, and a strong ability to present and articulate solutions to senior members of the customer teams.
Successful candidates will provide both solution and technical leadership in creation and delivery of solutions including technical architecture, design, build and maintenance of large-scale computing solutions and development of customized Big-data and analytic solutions leveraging Legacy enterprise environments and new data sources from inside and outside of the customers own technical ecosystem.
Responsibilities
- Responsible for providing a detailed technical design for enterprise solutions in the Analytics & Big Data space.
- Regularly leads cross functional teams at times including technical management of client staff assigned to implementation team in the completion of one or more solution requirements, architecture, or implementation deliverables.
- Provides the technical direction required to resolve complex issues to ensure the on-time delivery of solutions that meet customer expectations. May need to develop new methods of solution design and delivery to apply to situations.
- Provides advanced technical consulting and advice to proposal efforts and solution design.
- Provides consulting advice to customer senior Information Technology (IT) leadership and sets strategic direction for customers based on Company's solutions and products in the Big Data and Analytics space.
- Works with peers outside immediate organization to define and characterize complex technology or process problems and/or develops new solutions, yet works independently to drive technical solutions to a problem.
- Produces strategies which assist Company in becoming No. 1 in the market place.
- Actively participates in Company professions program and Practice Improvement activities.
- Leads technically significant work on enterprise scale projects.
- Is recognized by peers as an expert in the Big Data space.
- Sustained and consistent contribution at the region level.
Education and Experience Required:
- 10+ years of professional experience and a higher learning degree in Arts/Science or equivalent degree in computer science or related area of study.
Knowledge and Skills Required:
- Experienced in the design and implementation of enterprise solutions for the management, processing and analysis of big data
- Demonstrates ability to develop solutions that can be used at multiple customer sites to enhance the availability, performance, maintainability and agility of their enterprise.
- Develops reusable solutions and workarounds that are innovative and demonstrate a deep technical knowledge of the affected products, processes, and customer environment.
- Recognized as an advanced subject matter expert of Big Data and Analytics and/or of the technologies associated with this space.
- Exposure to deployment, monitoring and management of Hadoop distributions within an operational context.
- Is aware of the capabilities and limitations of the technologies in this area including, but not limited to those listed below.
- Hadoop distributions including Hortonworks, Cloudera or MapR Hadoop
- Standard RDBMS such as Oracle, SQL Server, Teradata, Greenplum, DB2, or PostGreSQL
- NoSQL databases such as Cassandra, MongoDB, CouchDB or Neo4J
- ETL and data integration toolsets such as Talend, Pentaho, Informatica and SAS
- Analytics platforms such as SAS, SPSS and Distributed R
- Enterprise BI platforms such as Spotfire, Tableau, QlikView, Microstrategy, Business Objects, Cognos,
- Has represented at industry recognized technical events.
- Has performed troubleshooting across a number of significant multi-vendor products.
- Has demonstrated innovation and ability to communicate new offerings across multiple business units.
- Has led a cross functional team in the delivery of multiple solutions across multiple technologies.
- Ability to operate and present at all levels, and in public forums, to facilitate business discussions, and controls and leads those discussions.
- Ability to lead production of proposals, working across departments, for complex customer solutions.
- Able to lead, coach and mentor others in consulting skills.
- Demonstrates ability to develop and win new opportunities through application of consulting skills.
- Maintains and develops client engagements which are strategic by acting as a subject matter expert and advisor in the area of Analytics & Big Data.
- Ability to develop detailed project plans and work breakdown structures.
- Ability to develop Architecture Specification deliverables that map customer business requirements to technologies.