Consider a new opportunity
The Big Data / Analytics Solution Architect will deal with complex, interrelated applications and systems being designed for today’s big data platforms, and will work with rapidly evolving technologies analyze and define unique solutions.
Working closely with an internal team of highly skilled technical resources the individual will assist Endava define and develop its Big Data product offering.
The individual will provide thought leadership and drive architecture and the design of Big Data Analytics solutions for Endava’s customers, and will demonstrate the understanding of concepts, best practices and functions to implement a Big Data solution in a corporate environment.
Solution architects document the solution architectures and solution requirements and, when needed, define end user proofs of concepts to test the architectures, usage models and corresponding technologies.
They also work with end users and partners to deploy the solutions. A strong candidate will have :
Experience in Data Warehouse and Big Data platforms design and implementation
Experience in Solution Architecture, Design, Development and Deployment
A broad set of technical skills and knowledge across hardware, software, systems and solutions development and a across more than one technical domain.
Demonstrated experience in real world IT or other solutions environments including creating (on your own or with a team) a product or IT solution in the area of Big Data / Analytics
Strong communication skills including representing your company in industry standards organizations or industry technical forums or other events
Strong technical team leadership, mentorship and collaboration.
Ability to develop technical relationships with end-users.Responsibilities include :
Design and implement scalable Data Platform (Big Data or DBMS) 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
Develop conceptual, logical and physical model design for various data types and large volumes
Implement some of the Data Platform systems in distributed cloud environments
Work closely with customers, at a technical and user level, to design and produce solutions
Work closely with the product management and development teams to rapidly translate the understanding of customer data and requirements to product and solutions.
Set architectural vision and direction across a matrix of teams.
Strong experience with SQL and Data Warehouse (Microsoft SQL Server or Oracle)
Experience with major big data technologies and frameworks including but not limited to Hortonworks, Cassandra, Hadoop , Hive, HBase, Spark, Impala, Kafka;
Experience with product and services offered by cloud computing providers such as Amazon Web Services, Microsoft Azure
Experience with massively parallel processing databases
Strong experience in designing large data warehouses with working knowledge of design techniques such as star schema and snowflake
Strong experience in data architecture
Strong experience in a consulting environment
Solid technical expertise and troubleshooting skills
Practical expertise in performance tuning and optimization, bottleneck problems analysis;
Technical team leading and team management experience, understanding of Agile (Scrum)
Experience in client-driven large-scale implementation projects
Knowledge of the underlying infrastructure needed for Big Data Solutions
Knowledge of programming and scripting languages such as Java, Python, Ruby, or R is a plus
Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines and Search Personalization).