Build a partnership with our clients
As an Engagement Manager, you help our clients solve problems and transform their organization by applying the knowledge you’ve gained from a wealth of industry and professional services experience in data and analytics. You are passionate about building enduring client relationships at all levels and being a mentor and leader to Clarity project team members. As an engagement manager at Clarity, you have the opportunity to sell and lead full life-cycle data and analytics projects to ensure delivery excellence.
Blend big data and the cloud
The ideal Cloud Architect grew into a solution architect (SA) role from a background as a developer, data wrangler, and in some ways a Systems Performance tinkerer. All of our SAs have to make decisions affecting continuous deployment in DevOps with Chef and Puppet, developing web and mobile scale-out apps using Memcached or Redis, RDBMS (MySQL, AWS Aurora, Postgres, Oracle, SQL Server) and/or NoSQL (DynamoDB, MongoDB, and Cassandra), data stores, building use cases and implementing big data analytics with technologies like Hadoop, Speak, REDSHIFT…
An SA is not born overnight. They have a broad background across technology stacks with specific hands-on skills. They do build architectures across network, storage, operating systems, virtualization, RDBMS & NoSQL databases, Hadoop, mid-tier apps that include application integration, in memory cache and security.
There’s no way you can do this job as a one trick pony. The right SA with AWS or Azure, etc, is someone who has been there and done that in software and technology sales and consulting. You should be able to think strategically and talk to a wide variety of people in the business and in the IT organization. You should comfortably be able to create technical definition around customer objectives (Why are we doing this and what is the end result we will achieve specifically with these tools), and be able to develop solution strategies, motivate those who are new to the modern technologies, and how to mobilize resources to deliver results. 99% of our teams are domestically based since we are a US company with offices in Chicago, NYC, Charlotte, and Redwood City CA.
Find actionable insights
A data scientist at Clarity Insights will be responsible for conducting anakyses and creating statistical models which allow our client to make more informed business decisions. A person in this role needs to be able to both understand a client's business and be able to work with big data (e.g. parallel/MapReduce algorithms).
This is a hands-on position and requires the candidate to be highly proficient working with statistical packages like SAS, SPSS, R or similar tools.
We required individuals with past management consulting experience working with both strategy and full-lifecycle implementations for nationally based clients. It is essential that candidates possess proven experience on professional work engagements, and can demonstrate proficiency in predictive analytics and data mining either through references or a portfolio of work that can be shown. Additional experience with implementing data warehouse solutions would be preferred.
Build solutions for the Fortune 1000
A big data architect at Clarity Insights is an information technology professional who architects enterprise level data & analytic solutions for Fortune 1000 organizations. These professionals have a wide, yet detailed range of technical knowledge, rather than focusing their skills in a specific area of information technology.
Are you a data innovator?
As a big Data Engineer, you have one of the most exciting roles on our data and analytic projects. You are the builder. You take the design and transform it into a high performing solution. Our Data Engineers are innovators and think outside of the box. You are inquisitive and extremely passionate about data. Our clients communicate their business problems, and using their data, you tell their story.
Collaborate and validate implementation with other technical team members.
Clarity team members are naturally curious, and we've built an environment for continuous learning. Our infrastructure supports continual growth in many ways. This includes traditional models such as internal and external training programs and corporate knowledge centers, as well as some more creative models, like mentorship programs, accelerated learning and certification paths and customized career trajectories based on personalized interests. One thing is for sure...we're never bored.