Big Data Architect - Software Engineering
Overview:
kCura is a global company with team members who are driven by our customers to build exceptional software for them to use every day. Our product, called Relativity, handles large volumes of data and helps corporations, law firms, and government agencies solve their own unique data problems.
The way we work together is centered on our core values of collaborating, communicating, pushing to exceed expectations (even our own), being humble, and having fun while we do it. We enjoy ourselves, give back, and work (and play) hard together. If this sounds like the place for you, check out the details of this position below.
Acting as "Big Data" subject matter expert, you will be guiding and assisting software engineers and managers in selecting and implementing appropriate solutions for differing data needs.
Responsibilities:
The Big Data Architect is responsible for delivering results for the Product Development department by:
Architecting and building a “big data” solution by understanding client, business, and technical requirements
Working closely with senior technology managers (CTO/CEO, Engineering Managers & Directors) and one or more Scrum teams
Identifying and ensuring the resolution of possible technical and client implications of each release
Maintaining a program of tools and technology enhancements that will improve the maintainability and quality of the solution(s)
The Big Data Architect performs the following functions in the administration of their position:
- Encourages teams to work collaboratively ensuring a consistent technology implementation
- Creates a technical vision and clearly articulates this to stakeholders and engineers
- Promotes standards through workshops, knowledge shares, and code walk-throughs
- Works closely with Director(s) of Engineering to identify training opportunities for team members
- Acts as subject matter expert by leading data innovation and keeps the company up to date with data technology evolution
Qualifications:
In-depth technical understanding and experience with Relational databases
In-depth technical understanding of Data Warehousing concepts
In-depth technical understanding of “NOSQL” technologies as well as practical experience with at least two flavors of “NOSQL”
- Experience with Elasticsearch is a plus
Experience with indexing, searching, and analytics over large data sets
Proficient in conducting and communicating an evaluation and selection process
In-depth understanding and experience implementing Redundancy and Disaster Recovery scenarios
Strong technical understanding of the Microsoft technology stack, and the challenges of integrating open source technologies
Working knowledge of Agile Project Development Methodologies
Distributed and cloud computing environment experience
Demonstrated research and problem solving skills and is capable of independent thought
Strong leadership, teamwork, and partnering skills for cross-group collaboration
Ability to perform under pressure and deliver complex technical solutions
Superior communication skills with proven ability to relate with both technical and business professionals
Minimum Qualifications:
- Bachelor’s Degree or equivalent in computer science or related disciplines
- Experience architecting, overseeing implementation, and technical development for solutions in Elasticsearch or SOLR or Cassandra
- Proven track record of implementing and managing large scale Relational, Data Warehousing, and “NOSQL” implementations
- Demonstrated background in big data; principles, architecture, and implementation in large multi-terabyte environments
- Thought leader in the data technology space (demonstrated by published white papers, thesis, or internet blogs on “big data/data science” topic, as well as active contribution to a big data open source project)
About Us
Our software has more than 130,000 active users in more than 40 countries from organizations including the U.S. Department of Justice and more than 190 of the Am Law 200. We have grown significantly over the last several years and continue striving to build software that helps solve our customers’ toughest e-discovery and unstructured data challenges.
If you’re ready to grow with us, we’d love to hear from you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.