The Data Industry Group (INDG) is responsible for providing world class data for BLAW, BTAX and BGOV. These products are changing the legal industry by delivering the most sophisticated research platforms on the market with a focus on automation, analytics and real-time answers. We are committed to changing the way legal and tax professionals conduct their day to day tasks by automating research and providing analytical solutions to help them get real-time answers and better serve their clients. Our goal is to use innovative technologies to deliver outstanding solutions on a fast and reliable web platform that will impact the future practice of law.
The Role Bloomberg is seeking an energetic, highly-motivated and experienced Data Architect to join the INDG Data team. Our goal is to provide legal and tax documents and data that are fit for purpose to support the Industry Group suite of products. As Data Architect you will work closely with our Product and Engineering teams to understand the business needs of the clients and focus on creating a comprehensive vision and data model. In doing so, you will participate in defining the target state data strategy and roadmap, conduct functional data analysis, profile data content, translate business needs into (requirements for) various types of data models (conceptual, business data model, message schema, semantic models, database model). You will author catalog glossary, data definitions, metadata and contribute towards implementing Data Management processes.
Who are you? An autonomous, creative Data Architect who loves technology, is endlessly curious, passionately inquisitive, and an advocate for best practices. A systems thinker who can conceive and portray the big data picture, while understanding how to break a larger problem down into smaller pieces that can be solved independently
We'll trust you to:
Define and lead architectural runway for enterprise data model, enterprise data stores/warehouse, and information management.
Put into action industry standard data architecture & modeling best practices. Work in a fast paced, dynamic & collaborative setting.
You will be encouraged to define various facets of data models: business concepts/upper-level ontology, state-machine, associated entities, objects, relationships and properties, and vocabulary.
Ability to influence partners in governing data and requisite management of its life cycle.
Promote the practice of data modeling/ontology design and metadata management as part of data lifecycle.
Work together with Product, Engineering teams, and domain experts to help craft data strategy and execution roadmap.
Research industry standards and best practices on data attribute and modeling requirements.
You'll need to have:
Mastery in analyzing data and functionality for diverse enterprise-scale transactional, streaming and analytical style demands.
Data Design skills for organizing the data considering product need, client usability and engineering objectives.
Data modeling and ontology methods for Conceptual, Logical modeling and familiar with design considerations for crafting database and message schemas.
Understanding of large scale, distributed analysis systems with an ability to understand large systems with minimal documentation.
Strong analytical abilities with passion for data and evidence based decision-making.
Good understanding of system development life cycle and software project management approaches.
Experience with diverse technology applications and associated architectures.
Experience with communicating and coordinating with internal/external groups to define project scope and meet project deliverables across the implementation process.
Proficiency in SQL, Excel VBA; Hands on experience/fluency in SQL joins and ability to write simple to moderately complex SQL queries.
Bachelor's or master's degree in computer science, statistics, engineering, or a closely related field.
We'd love to see:
Previous experience (2+ years) as a Data Architect working with databases and cloud architecture.
A candidate that will combine technical data science traits with good business insight.
Experience using data visualization tools such as Tableau or QlikSense
A creative and analytical problem solver.
Superb communication skills.
Knowledge of Machine Learning, Pattern Recognition and Natural Language Processing.
Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
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