Enterprise Knowledge (EK) is hiring for a Data Management Consultant to join our growing Advanced Data Practice. This individual will be responsible for managing the design and implementation of cutting-edge data discovery, integration, and data governance solutions for a wide range of organizations around the world. EK was recognized on KMWorld's list of leaders in Artificial Intelligence, the AI 100: The Companies Empowering Intelligent Knowledge Management.
The Data Management Consultant will apply their deep technical skills to create data products, develop solutions, and build world-class analytics capabilities for our clients. The successful candidate will continually innovate and pioneer the use of new technologies and drive adoption of these amongst a collaborative team of consultants and engineers. The Consultant will have ownership of data engineering projects, manage client expectations, and drive delivery with the appropriate stakeholders.
As an EK team member, you will have the opportunity to learn from enthusiastic colleagues, take advantage of our unique benefits, and help build our innovative culture. Don’t just take our word for it – we were recently featured as one of Washington Business Journal and Inc. Magazine’s 2023 Best Workplaces!
Responsibilities:
- Facilitate discussions to understand client needs to provide advisory/consulting on data management and governance best practices and translate to technical requirements for solution design and implementation
- Design, build, and scale data pipelines across a variety of source systems and streams, distributed/elastic environments, and downstream applications
- Develop, build, test, and maintain scalable data pipeline architectures and tools
- Partner with data scientists/analysts and cross-functional teams to lead the discovery, collection, cleansing, and refinement of the data needed for analysis and modeling
- Operate in a cloud environment and assess environment specifications and requirements for big data
- Guide/perform data engineering to enable data science and machine learning programs and teams
- Implement the appropriate design patterns while optimizing performance, cost, security, and scale and end user experience
- Work with data subject matter experts and business users to effectively understand and model their domain of knowledge into data solutions
- Support a variety of business intelligence projects using AI-based solutions
- Analyze, process, and extract valuable insights from complex datasets.
- Perform complex querying of data using SQL, Python, R, or other languages.
- Develop reporting and data visualizations
- Work with internal and external teams to contextualize data science work into larger project context
Required Skills and Qualifications:
- Bachelor’s degree in math, statistics, economics, data science, computer science, or related field
- 4+ years of experience designing and planning data, machine learning or advanced analytics projects to meet business requirements
- Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work product
- Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment
- Experience with distributed data processing systems and proficiency in SQL
- Experience owning and managing a full pipeline within a large project, including interfacing with business stakeholders, architects and senior leadership to effectively communicate status and concerns.
- Experience designing and working with relational databases
- Experience designing and building distributed systems for scalability
- Understanding of Agile development methodologies
- Experience applying machine learning methods, and statistical analysis to business use cases
- Proficiency in programming languages such as Python, R, or similar for data analysis and modeling
- Experience and familiarity with data modeling, data silo integration, and database architecture projects
Preferred Skills and Qualifications:
- Experience designing and working with graph databases and SPARQL
- Experience setting up and working with data catalog
- Experience designing ontologies, and working with ontology management tools (Smartlogic Semaphore, PoolParty, Synaptica, Mondeca, etc.)
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